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Twelve Principles for Green Energy Storage in Grid Applications Maryam Arbabzadeh, Jeremiah X. Johnson, Gregory A. Keoleian, Levi T. Thompson, and Paul G Rasmussen Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.5b03867 • Publication Date (Web): 02 Dec 2015 Downloaded from http://pubs.acs.org on December 8, 2015

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Environmental Science & Technology

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Twelve Principles for Green Energy Storage in Grid Applications

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Maryam Arbabzadeh*a, Jeremiah X. Johnsona, Gregory A. Keoleiana, Levi T. Thompsonb, Paul G. Rasmussenb

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Corresponding Author: * Phone: 1 (516) 641-2447, Email: [email protected]

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a

Center for Sustainable Systems, School of Natural Resources & Environment, University of Michigan, Ann Arbor, MI 48109

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b

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Abstract

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Energy storage technologies represent a potential solution for several grid applications such

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as integration of renewables and deferring investments in transmission and distribution

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infrastructure. The integration of energy storage systems into the electrical grid can lead to

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different environmental outcomes based on the grid application, the existing generation mix,

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and the demand. Given this complexity, a framework is needed to systematically inform

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design and technology selection about the environmental impacts that emerge when

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considering energy storage options to improve sustainability performance of the grid. To

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achieve this, 12 fundamental principles specific to the design and grid application of green

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energy storage systems are developed to inform policy makers, designers, and operators. The

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principles are grouped into three categories: (1) system integration for grid applications, (2)

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the maintenance and operation of energy storage, and (3) the design of energy storage

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systems. We illustrate the application of each principle through examples published in

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academic literature, illustrative calculations, and a case study with an off-grid application of

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vanadium redox flow batteries (VRFBs). In addition, trade-offs that can emerge between

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principles are highlighted.

Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109

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Abstract Art

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1. Introduction

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Energy storage is expected to play an important role in the future of a sustainable electrical

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grid [1]. Energy storage may serve as a solution to the integration challenges of variable

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renewable energy, reduce greenhouse gas (GHG) emissions, and increase grid reliability [2].

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Options for grid-connected energy storage vary greatly, including flow batteries, Li-ion

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batteries, compressed air energy storage (CAES), flywheels, and pumped-storage

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hydroelectricity. Each storage technology has specific operating characteristics such as

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response time, ramp rate, round-trip efficiency, service life, and discharge duration, which

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make it suitable for a particular grid application. Eyer and Corey reviewed energy storage

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technologies’ technical characteristics and identified their potential grid-scale applications

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and benefits [3]. Another study by Department of Energy examined the state of energy

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storage in the U.S. and abroad, describing grid applications for each storage system [4].

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Recent policies have mandated the integration of energy storage (e.g., California’s

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requirement of 1,325 MW of storage by 2020 [5]) or created more favorable conditions for

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their integration (e.g., the Federal Energy Regulatory Agency Order 755 [6]). These


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developments suggest the potential for greater use of energy storage on the grid in coming

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years.

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Not only do the grid benefits vary greatly across technologies, the design, manufacturing,

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deployment, and operation of energy storage systems may lead to significantly different

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environmental impacts. Other researchers have considered and analyzed the environmental

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performance of energy storage systems. Larcher and Tarascon argued that the only viable

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path towards greener and more sustainable batteries is rooted in designing electroactive

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materials that cost less energy and release less CO2 emissions during production, while

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providing comparable performance to today’s electrodes [7]. In another study, Tarascon

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emphasized that, regardless of energy storage technology, materials with minimum

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environmental footprint must be integrated in new research towards greener storage systems

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[8]. Poizot and Dolhem highlighted that to improve the environmental footprint of

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rechargeable batteries and to sustain the benefits of using them, it is necessary to decrease the

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consumption of non-renewable resources, energy, and waste produced [9]. They also

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emphasized that “greenness” of a battery does not depend solely on the type of materials

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used in the battery, but also on how the battery is managed throughout its life. Indeed, the

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environmental outcomes of integrating energy storage within the power grid depend on the

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grid application, the existing generators, and the demand profile. Carson and Novan

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examined the social benefits of integrating bulk energy storage in Texas electricity market,

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which has a large amount of renewable capacity [10]. Their results showed that energy

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storage for arbitrage would increase the average daily GHG emissions in Texas due to an

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increase in off-peak fossil fuels generation.



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Trends suggest that energy storage is poised to play an increasingly important role in power

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system operations, with the potential to greatly influence emissions. Denholm analyzed the

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environmental benefits of a biomass-based CAES integrated with wind energy in Midwestern

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US [11]. In this system, the natural gas fuel of the CAES is replaced by biomass fuel, leading

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to reduction in net CO2 emissions and the need for transmission expansion. In an overview of

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energy storage technologies for mitigating the fluctuations of renewable energy generations,

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both Beaudin et al. and Evans et al. examined the environmental benefits and challenges of

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such systems [12], [13]. In another study, Denholm and Kulcinski showed that the energy

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systems including renewables integrated with large-scale energy storage offer lower life

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cycle emissions [14].

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These and other studies [15], [16], [17], show how design, development, and application of

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energy storage systems within the power grid influence environmental sustainability

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outcomes. They all provide valuable insights into the complexity associated with the

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environmental outcomes of integrating energy storage systems. However, those who design,

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maintain, and operate such systems lack a comprehensive and systematic set of principles

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that can yield improved environmental outcomes.

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This paper provides a comprehensive set of principles specific to the design and grid

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applications of green energy storage systems to guide their research, development, and

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deployment. These principles for green energy storage build upon previous research that

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aims to improve environmental outcomes through better design and operation.

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In a guidance manual for life cycle design, Keoleian and Menerey emphasized the

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importance of addressing environmental issues in design in order to achieve a more

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sustainable system [18] and a variety of tools to support green design have evolved. Anastas

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and Zimmerman made an important contribution through their development of 12

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engineering principles to guide design of environmentally benign products and processes

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[19]. McDonough et al. illustrated the industrial application of these principles [20] while

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Diwekar used the green engineering principles to develop an integrated computer-aided

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framework for chemical process design [21]. Before the development of the green

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engineering principles, Anastas and Warner developed 12 principles for green chemistry

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[22]. Kirchhoff highlighted the impact of decisions made by chemists on the options

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available to engineers, as she defined green chemistry as a foundation on which to design the

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green engineering technologies needed to produce sustainable products, processes, and

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systems [23]. Krichhoff demonstrated that combining green chemistry with green

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engineering would lead to maximum efficiency and minimum waste.

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While these studies have successfully provided guidance and structure to green design and

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products, energy storage technologies pose unique assessment challenges that are not fully

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addressed by those approaches. Given the complexity of the grid, this study fills a research

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gap by providing a transparent set of principles to guide integration, operation and

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maintenance, design, and material choices that influence environmental impacts from

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integrating energy storage systems. The objective is to guide designers, decision makers, and

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utility operators on design options and deployment scenarios. Through analysis of expected

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outcomes based on application of these principles, one can assess the trade-offs that may

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emerge when faced with competing responses.

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Principles and frameworks are valuable as a guideline to develop sustainable solutions for

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environmental problems that continue to become more complex [24]. 12 green chemistry 5 ACS Paragon Plus Environment


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[22], 12 green engineering [19], and EPA’s green engineering principles [25] have been used

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by industry and adopted in curricula, guiding effectively academic research and training

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future practitioners [26]. Inspired by and building off the 12 engineering principles [19], we

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propose 12 principles for green energy storage to provide insights into and improve the

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environmental outcomes when integrating energy storage systems into power grid.

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Interactive, participatory, and multi-disciplinary research is key in sustainability science to

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integrate the best available knowledge [27]. Therefore, to create the broad set of principles,

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we first convened a multi-disciplinary group of scholars including chemical engineers,

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industrial ecologists, chemists, and electrical engineers. Drawing on existing academic

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literature and conducting novel research, the group created an extensive list of potential

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principles. We recognized that for the principles to be widely deployed, the final list would

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need to be sufficiently succinct and broadly applicable across energy storage technologies.

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Wide and effective application of green engineering and green chemistry principles has

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demonstrated that twelve principles have proven to be both sufficiently comprehensive, while

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still being manageable [19], [22]. This was a motivation for authors to consolidate similar

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concepts, resulting in a robust set of twelve principles specific to green energy storage

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systems. To solicit feedback, we presented these principles at several conferences with

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diverse audiences including electrochemists, engineers, industrial ecologists, and

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sustainability scientists [28], [29], [30], [31], [32]. Throughout this two-year process, we

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refined and finalized this set of principles presented in this article.

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1.2. Elements of Principles for Green Energy Storage

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The principles for green energy storage are grouped into three categories, which address

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impacts related to: (1) system integration for grid applications, (2) the maintenance and

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operation of energy storage, and (3) the design of energy storage systems including materials

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and production.

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The first category of principles addresses the impact of energy storage due to system

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integration for a variety of grid applications. The environmental impacts of integration of

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energy storage are greatly influenced by power system characteristics such as the existing

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grid infrastructure and electricity demand profiles. Also, the balance of rated power and the

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hours of storage capacity, as influenced by the application, have significant impact on the net

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environmental impact.

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There is a distinction between energy storage systems classified as those best suited for

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capacity applications and those best suited for energy applications [3]. For capacity

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applications, energy storage is used to displace or defer the need for installing new

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infrastructure such as transmission and distribution (T&D) lines or substations [3]. In such

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applications, a limited amount of energy storage discharge capacity may be needed for such

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applications. However, in energy-driven applications such as renewable curtailment

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reduction, the storage technology may require multiple hours of energy storage to achieve the

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desired results. The environmental impacts of integrating energy storage for each of these

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applications should be analyzed in the context of the application for which it serves.

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For example, applications of energy storage to reduce wind curtailment (which would nearly

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universally lead to improved environmental outcomes) must be evaluated in a manner

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different than applications to defer T&D projects. In the first application, energy storage



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environmental burdens are compared with the displaced fossil fuel generation emissions. In

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the second application, energy storage provides the capacity needed to defer the construction

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of new T&D infrastructure. In this case, the energy storage burdens are compared with the

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displaced T&D infrastructure’s environmental footprint.

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The second category of principles addresses impacts associated with operation and the

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importance of effective maintenance of energy storage systems to achieve the desired outcomes.

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The principles included in the third category relate to the impacts associated with materials and

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production, which are also among the foci of the 12 engineering principles developed by Anastas

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and Zimmerman [19]. Targeting improvements in materials, device production, and also their

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end of life are critical in advancing clean and sustainable energy storage systems for grid

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applications. This category details the interventions that can occur during the design of the

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energy storage technology, highlighting the importance of performance characteristics such as

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efficiency and service life, while addressing the impacts from materials and manufacturing.

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We provide supporting examples for each principle to illustrate their application to a range of

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energy storage technologies such as, batteries, flywheels, pumped hydro, and compressed air

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energy storage (CAES). Examples are drawn from existing literature, as well as novel analysis of

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a case study. In this case study, we analyze a micro-grid to demonstrate the utility of several

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principles (Principles # 4, 6, and 11).

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Principles for Green Energy Storage in Grid Applications

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The three categories of principles are shown in Fig.1 and they are explained in the next section.


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Fig.1. List of principles for green energy storage systems.

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2.1 The Principles

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2.1.1

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This principle addresses use-phase emissions from generators on the grid. The net emissions

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during the operation of energy storage depend on three main factors: the emissions associated

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with the electricity that charges the energy storage system, the round-trip efficiency of the

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storage technology, and the emissions associated with the displaced generation resource. The

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generators that can be attributed with charging the energy storage system, as well as those

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determined to be displaced by the discharge of the energy storage system, are typically the

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marginal generators during the hours of charging and discharging. This means that, for many

Principle #1: Charge clean & displace dirty.



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power systems, the generation that is increased or displaced will often vary by the time of day

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and season of the year. This also suggests that variable renewables such as wind and solar, which

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may be considered to have no dispatch costs, would typically not change their generation upon

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the introduction of an energy storage system. A notable exception to this would be the reduction

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of curtailment of these resources.

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For many power systems, determination of the generators impacted by energy storage would

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require extensive modeling (e.g., deployment of unit commitment and economic dispatch

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models). However, a basic understanding of the system’s operations can inform one about the

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type of generator that is typically the marginal unit during off-peak and on-peak hours

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throughout the year. Using such information, we provide the following approach to estimate the

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net use-phase emissions.

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The emissions associated with fossil fuel based electricity generation technology are defined by

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the generator’s heat rate (HR) and its fuel’s upstream and combustion emissions factors (EFU,

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EFC). To illustrate the range of outcomes for net emissions, we examine several common plant

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and fuel types and a range of plant efficiencies. A range of annual heat rates for each technology

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is obtained from the annual electric utility data provided by the U.S. Energy Information

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Administration, and the net use-phase emissions are calculated for multiple combinations of

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charge-displace patterns using the 10%, 30%, 50%, 70%, and 90% percentiles for heat rates for

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each technology, excluding low-used generators and outliers [33].

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Net emissions (NE) during the operation of energy storage system in tons of CO2eq per MWh are

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calculated using Eq. 1, where EFC and EFU are the combustion and upstream emissions factors of

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coal and natural gas fuels. Their assumptions are provided in Supporting Information. In this


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example, the system boundary includes the use-phase emissions during operation of energy

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storage system, and also the upstream emissions of natural gas and coal fuels, excluding

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emissions associated with the power plants construction and energy storage production burden. ∗ + = ( ) − ( ∗ + ) /1000 ( . 1)

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The net emissions in different charge-displace scenarios of an energy storage system are shown

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in Fig.2, assuming 75% round-trip efficiency (η) [1]. As shown in Fig. 2, the green areas

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represent charge-displace combinations for which energy storage reduces net emissions from

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grid generation, while the energy storage increases net emissions for the red combinations. This

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figure shows the importance of fuel type and generator efficiency on emissions for both the

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charging and displaced technologies.

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Therefore, it is very crucial to consider the marginal units that are dispatched to charge the

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energy storage system and the marginal units that are displaced by energy storage within an

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interconnected grid. For example, if a pumped-hydro storage facility is charged by coal during

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off-peak hours at night and its stored electricity is used to displace natural gas during the day, the

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net emissions would increase. On the other hand, when the battery is charged with CO2 free

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technology such as wind that would have otherwise been curtailed due to transmission constraint,

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the environmental benefits (green area) increase as the discharged electricity is used to displace

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more polluting fossil fuels, up to 1.2 t of CO2/MWh when used to displace an inefficient coal

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plant.



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Fig.2. Net GHG emissions in different charge-displace scenarios for an energy storage system with 75%

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round-trip efficiency.

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(*Net Emissions include fuels’ combustion and upstream emissions for the fuel. Negative amounts are shown in

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parentheses.)

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Principle #2: Energy storage should have lower environmental impact than displaced

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infrastructure.

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In capacity applications, energy storage can be used to displace or defer the need for other

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equipment and lead to both financial and environmental benefits [3]. For example, energy

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storage can be utilized to defer the need to buy new generation capacity (e.g. a simple cycle

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combustion turbine) to meet peak demand [3]. Energy storage systems can also be utilized to

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defer the need to build new T&D infrastructure [34], [35]. Growing electricity demand can strain

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T&D infrastructure as the peak power pushes the equipment’s limits and causes congestion. At

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locations where T&D resources are stretched, installing a small amount of energy storage 12 ACS Paragon Plus Environment

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capacity can defer upgrades of transmission systems, cables, or substations for several years

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depending on growth in demand [36]. The energy storage systems for grid applications typically

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have a service lifetime of at least five years [37], and when installed for infrastructure deferral,

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they are typically only used for that purpose a small percentage of the year, when the demand

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exceeds the infrastructure capacity at maximum peak times [36].

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When assessing the environmental benefits of using energy storage for T&D upgrade deferral, it

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is essential to consider both the lifetime of the energy storage and the expected length of time the

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T&D can be deferred. Eyer et al. developed a method to calculate two key storage system

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parameters to defer T&D upgrade for one year: the power output and discharge duration (or the

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amount of energy that must be stored) [35]. They define the amount of power required from the

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storage system at a given T&D node as the portion of the peak electric demand, which exceeds

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the load carrying capacity at that node. Discharge duration is estimated based on the shape of the

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load profile expected when peak demand occurs and the amount of energy needed if the storage

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systems is to serve load. Deferral for additional years must consider impacts of load growth [35].

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There are environmental impacts associated with both the displaced equipment and the energy

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storage system life cycle. For example, Jorge et al., developed a life cycle environmental

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assessment of electricity T&D systems including power lines, cables, transformers, and

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substation equipment [38]. For such applications, energy storage life cycle environmental impact

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should be lower than the environmental impacts associated with the displaced infrastructure in

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order to improve the sustainability performance of the grid.

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As an illustrative example, we compare a 375 kW energy storage system with 3.5 hours

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discharge duration to a substation upgrade. The energy storage defers the need for upgrading a

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15 MW substation, for one year. The upgrade requires a 5 MVA additional capacity to meet 2%



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load growth per year [3], [36]. Using life cycle GHG emissions of a VRFB and a 10 MVA

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substation and matching their sizes with this example results in 9 tons of CO2-eq, per year for the

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scenario with energy storage, which is far less than 76.6 tons of CO2-eq per year for the additional

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capacity scenario [38], [39].

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Principle #3: Match application to storage capabilities to prevent degradation.

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In general, all energy storage technologies experience fatigue and wear over their service lifetime

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[40]. For example, the degradation of batteries occurs gradually over time as manifested by

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declining capacity, increasing internal resistance, and elevated self-discharge [41], [42].

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Different studies have evaluated the degradation of energy storage systems and the factors that

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affect it. A study by National Renewable Energy Laboratory reviewed models for predicting

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battery chemical degradation and mechanical stresses [43]. Chawla et al. presented a method to

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evaluate a batteries’ cycle degradation under dynamic cycle duty. They showed that selection of

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energy storage for a specific grid application depends on its size, power to energy ratio,

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discharge duration, ramp rates, and life cycle cost [42]. The degradation of energy storage

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systems over time, specifically batteries, depends on how they are used in the application. In

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general, every charge-discharge cycle results in some degradation [42].

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There are a variety of energy storage systems for grid applications. The features of each

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technology such as power rating, response time, or spacing requirements make it suitable for

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each application [44]. For example, flywheels have high charge/discharge rates for many cycles.

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However, their self-discharge rates are high, which leads to energy efficiency degradation when

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cycling is not continuous and energy is stored in the flywheel system for a period of time [45].

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Therefore, these systems should not be a good match for grid applications that require long-term 14 ACS Paragon Plus Environment

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energy storage. Regarding their capabilities, one of the main applications of flywheels is to

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provide reliable standby power [45]. On the other hand, deep charges can shorten the cycle life

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of Li-ion batteries, because their capacity loss is dependent on temperature, rate, and depth of

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discharge [46]. Thus, they may not be utilized for back-up generation where they need to be

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discharged completely [45]. Therefore, matching the grid application to storage capabilities such

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as discharge duration, and charge/discharge characteristics can reduce the storage system

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degradation.

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Principle #4: Avoid oversizing energy storage systems.

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Energy sizing in terms of rated power and the hours of storage capacity, as influenced by the

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application, is a significant driver for the net environmental impacts. Oversizing the storage

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system can lead to an unnecessary environmental impacts through increased material and

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manufacturing burdens, if the storage sizing does not appropriately match application

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requirements.

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A micro-grid model is analyzed in two scenarios to test the impact of VRFB sizing on total

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emissions of the system. In this micro-grid, electricity is provided for an off-grid system

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comprised of a VRFB for energy storage, wind energy, and natural gas generation. This system

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has an assumed annual demand of 10.6 MWh per capita and annual peak demand of 22 MW.

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The life cycle model developed by the authors for the case study is presented in greater detail in

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Arbabzadeh et al. [39]. In this off-grid system, wind energy is treated as a must-take resource;

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wind in excess of demand is stored in the battery. Natural gas reciprocating engines provide

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back-up generation when there is not enough wind energy or stored electricity.



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In the first scenario, the off-grid system is comprised of five 3-MW wind turbines and in the

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second scenario it is comprised of 25 turbines. Total emissions include life cycle emissions

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associated with system components: wind turbines, VRFB, and natural gas engines [39]. As

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shown in Fig.3, in case of five wind turbines, there is not enough wind energy that needs to be

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stored in the battery. Therefore, for higher than 50 MWh of battery capacity, there is no change

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in the amount of stored electricity delivered to demand and this oversizing of the battery results

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in increasing the total emissions of the system associated with the production burdens of the

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battery. However, in the other scenario with 25 wind turbines, there is enough wind energy to be

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stored in the battery that would have otherwise been curtailed. Therefore, a bigger battery leads

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to reducing more CO2-eq emissions by reducing wind curtailment and offsetting more natural gas

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combustion. This demonstrates that the generator mix and load profile affect the environmental

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outcomes of integrating energy storage systems.


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Fig.3. The impact of battery sizing on emissions intensity of delivered electricity and stored electricity

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utilization in two scenarios with (a) 5 wind turbines and (b) 25 wind turbines.

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Principle #5: Maintain to limit degradation.

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In Principle #3, we discussed the importance of appropriate technology selection for a given

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application to mitigate energy storage degradation and ensure favorable environmental

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outcomes. A similar logic applies to the maintenance of energy storage systems to limit

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degradation. The regular preventative maintenance of energy storage systems lessens the

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likelihood of their degradation and failing and maximizes their performance and life expectancy

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[47], [48]. Some energy storage systems require routine and proper maintenance based on their 17 ACS Paragon Plus Environment


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characteristics. For example, a study by the U.S. Department of Bureau of Reclamation outlined

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the proper maintenance processed of batteries. The processes include readings of temperature,

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voltage, specific gravity and connection resistance, visual inspection, cleanliness, and

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neutralizing spilled electrolyte, among others [48]. EPRI has identified the operation and

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maintenance requirements for pumped-storage hydro plants, which can limit the wear and tear

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imposed to mechanical and electrical equipment due to frequent operational mode changes and

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vibration during pumping [49]. As mentioned in Principle #3, maintaining the appropriate

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temperature for Li-ion batteries is necessary to avoid capacity fade, which can be increased by

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14% when the temperature is increased from 10 °C to 46 °C [46]. In addition, a protection circuit

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is required to maintain safe operation for these fragile batteries to limit the battery overcharge

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and lithium plating [45]. Thus, it is necessary to maintain the energy storage systems effectively

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based on their requirements and specifications, to help limit system degradation and forced

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outages.

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Principles #6: Design and operate energy storage for optimal service life.

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Service life affects the materials and energy requirements for energy storage systems production

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and operation. Therefore, this principle is also relevant to design, since service life should be

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considered in both stages of energy storage design and also operation.

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From a life cycle perspective, replacing products causes additional environmental impacts

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associated with material production and processing [50]. To demonstrate this trade-off, two

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scenarios are considered for the micro-grid case study presented in Principle #4. In the first

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scenario, a 60% efficient VRFB is utilized for 20 years (only the necessary materials are replaced


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over this period of time). However, in the second scenario, a far more efficient (round-trip

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efficiency=95%) battery becomes available in Year 10, and the operators have the option to

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switch the old battery with the new one. It is assumed that the micro-grid model is comprised of

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25 wind turbines, a 150 MWh (65 MW) VRFB, and natural gas reciprocating engines as back up

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generation. As shown in Fig.4, if the battery is exchanged at Year 10, there is an increase in total

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GHG emissions of the system in that year associated with the production burden of the battery.

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However, there will be fewer emissions after 20 years if the battery is replaced with the more

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efficient one (the blue line). In this example, we assume an improvement to the technology offers

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the potential for markedly better round-trip efficiency in Year 10. For the given technology, we

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assume that the round-trip efficiency is optimized (and fixed) over the lifetime of the energy

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storage system for simplicity.

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Fig.4. Total GHG emissions of the off-grid configuration after 20 years in 2 scenarios: Replacing the battery (η=60%) with a more efficient one (η =95%) at Year 10 and no replacement scenario.

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Principle #7: Design and operate energy storage with maximum round-trip efficiency.

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Round-trip efficiency is one of the most important parameters for energy applications of energy

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storage systems, and needs to be considered in both the design and operation phases. It defines

370

the ratio of energy input to energy retrieved from the storage system [37]. Higher round-trip

371

efficiency means that less energy is lost during charge and discharge cycles.

372

As discussed in Principle #1 and shown in Eq. 2, round-trip efficiency is one of the main three

373

factors that affects the net use-phase emissions during the operation of energy storage systems.

374

To demonstrate the impact of round-trip cycle efficiency, Fig. 2 is modified to assume three

375

values for round-trip efficiency of the energy storage system to test the use-phase emissions

376

results: 65%, 75%, and 85%. Fig.5 shows the impact of increasing battery round-trip efficiency

377

on net use-phase emissions during the operation of energy storage in different charge-displace

378

scenarios. It is clear that increasing efficiency yields greater environmental benefits (green area)

379

for a greater number of charge-displace combinations. The round-trip efficiency of an energy

380

storage device is determined by intrinsic properties of the technology, as well as operational

381

strategies once deployed. In the latter category, thermal management strategies can mitigate the

382

heat produced during rapid charge and discharge cycles of Li-ion batteries, yielding improved

383

efficiency [51], [52]. In this example, it is assumed that round-trip efficiency is fixed over the

384

lifetime of the energy storage system for simplicity.


Page 21 of 41


385 386

Fig.5. Net use-phase GHG emissions in different charge-displace scenarios, assuming 3 values for the energy storage

387

round-trip efficiency.

388

(Net use-phase emissions include fuels’ combustion and upstream emissions for the fuel. Negative amounts are shown

389

in parentheses.)

390 391

Principle #8: Minimize consumptive use of non-renewable materials.

392

The growing demand for energy storage systems requires the need for advanced materials

393

research and development to address many challenges associated with storage systems

394

economics, technical performance, and design. Consumptive use of non-renewable materials and

395

resources changes their forms and contents in such a way that they are no longer available for

396

their original use, reducing their availability and limiting the future generations’ access to these

397

resources [53]. While energy storage systems can offer different grid applications, their design

398

and production should minimize the consumptive use of non-renewable materials; otherwise

399

depletion of materials can pose constraints on the continued deployment of these systems.

400

Materials selection will also play an important role in making energy storage technologies

401

affordable, efficient, and reliable [54]. Consumptive use of materials can be reduced either

402

through end-of-life recovery or by substitution using renewable materials. There is considerable



Page 22 of 41

403

research interest in the latter category, with the aim of developing suitable material substitutes.

404

For example, renewable and organic biomass-derived materials are introduced for developing

405

sustainable energy storage technologies such as battery’s electrodes [54], [55]. In another study,

406

renewable synfuel derived from biomass gasification replaces non-renewable natural gas in

407

CAES [11]. Huskinson et al. also indicated that wide-scale utilization of flow batteries is limited

408

by the abundance and the cost of their materials [56]. They described a class of energy storage

409

materials utilized in a metal-free flow battery. The research on investigating materials with lower

410

environmental implications is not limited to energy storage and includes other energy systems

411

such as thin-film photovoltaic technologies [57].

412

413

Principle #9: Minimize use of critical materials.

414

Energy storage systems can be material intensive and if they are to be widely deployed, their

415

feedstock elements will be needed in large quantities [58]. A report by Sandia National

416

Laboratory and Pacific Northwest National Laboratory presents a strategic material selection for

417

energy storage systems [59]. This strategy emphasizes that while cost reduction of storage

418

technologies is highly important and material costs have the biggest share in the cost of these

419

technologies, it is critical that both abundant and low cost materials are used in storage devices.

420

Another study identifies a class of chemical elements that are critical to energy sector and their

421

shortage would significantly limit and transform the way energy is produced, transmitted, stored

422

and conserved [59]. Risks to a material’s availability, whether that is absolute scarcity,

423

vulnerable supply chains, or monopolistic suppliers, can be a potential constraint for rapid

424

deployment of energy storage systems. For example, near criticality of tellurium [57], [60], [61],


Page 23 of 41


425

[62] may present a potential risk to its widespread use in batteries [63], [64]. On the other hand,

426

magnesium is not typically considered a critical material [62], [65] and has promising

427

performance for battery storage systems’ electrode [65], making it potentially more desirable

428

than its more critical counterparts.

429

The method adopted by the U.S. Department of Energy to assess the criticality of materials in

430

energy sector, is framed in two dimensions: importance to clean energy and supply risk [60]. In

431

another study, Graedel et al. characterized the criticality of metals and metalloids in three

432

dimensions: supply risk, environmental implications, and vulnerability [62]. Considering these

433

criticality dimensions in materials selection for energy storage systems that are used for grid

434

applications can enhance sustainability performance.

435

436

Principle #10: Substitute non-toxic and non-hazardous materials.

437

Safety must be emphasized within energy storage systems at every level to enable the success of

438

these technologies in increasing grid environmental performance. As described in a safety

439

strategic plan by U.S. Department of Energy, detailed hazard analysis must be conducted for

440

entire systems to identify failure points caused by abuse conditions [66]. The possibility of

441

cascading events should also be determined to prevent large-scale damage. There are different

442

levels of toxicity or hazard associated with each energy storage system that needs to be

443

understood to manage the trade-offs between safety and system performance. For example, in

444

case of a CAES in depleted natural gas reservoirs, the risk of ignition and explosion exists [67].

445

In batteries, there are risks associated with their basic electrochemistry [66]. For example, the

446

utilization of large-scale nickel-cadmium batteries has been reduced due to cadmium toxicity and 23 ACS Paragon Plus Environment


Page 24 of 41

447

associated recycling complexity [68], [69]. Although Li-ion batteries are used widely in devices

448

such as cell phones or laptops, their grid-scale usage needs to be examined from a safety point of

449

view, since these grid applications require higher energy and power capacities [70]. When

450

batteries are misused or facing abnormal environments, their inherent hazards cause accidental

451

scenarios. In this case, if the active materials are highly energetic, their contact with flammable

452

organic solvent-based electrolyte may cause dangerous situations, such as combustion of the

453

electrolyte [70].

454

The EPA describes the toxic effects of chemicals as adverse health effects they may cause and

455

how the extent of these effects depends on dose, route and duration of exposure. The toxicity

456

assessment is divided into two parts: (1) characterizing and quantifying the non-carcinogenic

457

effects of a chemical, and (2) addressing the carcinogenic effects of a chemical [71].

458

The EPA also describes hazard identification in two steps. The first step determines whether

459

exposure to an agent can cause adverse health effect and whether this effect is likely to occur in

460

human beings. The second step is called dose-response evaluation, which evaluates

461

quantitatively the toxicity information and characterizes the relationship between the dose of

462

received contaminant and the incidence of adverse health effects in the exposed population.

463

From this quantitative analysis, toxicity values are determined and are used in the risk

464

assessment to estimate the potential for adverse health occurring in humans at different exposure

465

levels [72].

466

467

Principle #11: Minimize the environmental impact per unit of energy service for material

468

production and processing. 24 ACS Paragon Plus Environment

Page 25 of 41


469

Materials production and manufacturing phases have significant environmental burden among

470

energy storage systems’ life cycle stages. To demonstrate this principle, the total emissions of the

471

micro-grid system, first presented in Principle #4, are tested using three values for representing

472

VRFB production burden. The VRFB material production emissions comprise two parts: energy-

473

dependent materials emissions in grams of CO2-eq per kWh (Emtrl,S) and capacity-dependent

474

materials emissions in kg of CO2-eq per kW (Emtrl,P) [39]. The detailed GHG emissions

475

assumptions for VRFB materials production and manufacturing are provided in Supporting

476

Information.

477

Fig.6 shows the total emissions of the micro-grid system, which is comprised of the system

478

components’ greenhouse gas emissions. As shown in in this diagram, the total emissions of the

479

micro-grid system decrease, as more battery capacity is available to offset more natural gas

480

combustion. However, this reduction is steeper when the battery production burden is decreased.

481 482

Fig. 6.The impact of decreasing battery production burden on total emissions in the micro-grid case study, which

483

includes 25 wind turbines, natural gas, and VRFB.



Page 26 of 41

484

Principle #12: Design for end-of-life.

485

Recently, increased attention has been paid toward environmental impacts of energy storage

486

systems’ end of life [73]. Careful analysis of environmental burdens associated with disposal of

487

storage systems is necessary to determine the best disassembly, recycling, remanufacturing, and

488

reuse approaches.

489

Herman et al. argues that due to the increasing demand for Li-ion batteries, economically

490

beneficial and technically mature disassembly systems are necessary for the end-of-life of these

491

systems [74]. End-of-life approaches such as, recycling and reuse can significantly reduce global

492

demand for extracted materials [60]. Designing energy storage systems such as batteries with

493

recyclable materials leads to environmental improvements and cost reduction [75]. Wang et al.

494

argues that eliminating landfilling as a result of recent disposal bans on rechargeable batteries

495

increases the need for development of alternative end-of-life management strategies such as

496

recycling valuable metals contained within the battery [76]. As opposed to traditional recycling

497

of batteries, refunctionalization of cathodes is the remanufacturing of active materials to regain

498

electrochemical performance at end-of-life, offering economic and environmental savings [77].

499

One example of battery reuse is the emerging trend of utilizing used batteries that first served in

500

automotive applications, in grid-scale stationary applications [78]. Reuse of electric vehicle (EV)

501

Li-ion batteries can offset the production burden of new batteries by extending battery service

502

life [79]. One of the promising applications of second use batteries is to replace combustion

503

turbine peak plant and provide peak-shaving grid application [80]. However, one of the critical

504

methodological challenges is the allocation of environmental impacts of batteries across their

505

mobile and stationary applications [79], [81]. The challenge is to take into account the allocated


Page 27 of 41


506

environmental impacts associated with the production of EV battery’s cells and module, end of

507

life management, refurbishment, and efficiency losses into the overall environmental burden of

508

the refurbished EV battery that will have a stationary application [79].

509

510

3. Discussion

511

There has been a rapid development in energy storage technologies and the demand for energy

512

storage is expected to grow due to recent policies such as California’s requirement of 1,325 MW

513

of storage by 2020 [5] and the Federal Energy Regulatory Agency Order 755 [6]. Energy storage

514

systems can be utilized for different grid applications such as renewable integration, load

515

leveling, and T&D upgrade deferral. However, the deployment of energy storage systems within

516

the electrical grid creates unique challenges for integration and can yield different environmental

517

outcomes. These challenges and outcomes depend on grid characteristics, electricity demand,

518

and existing generation assets; therefore, a framework is needed to systematically assess the

519

environmental outcomes of energy storage systems integration. The primary objective of this

520

article is to provide a robust set of principles specific to energy storage systems to inform

521

decision makers, utility operators, and energy storage designers about these challenges and

522

environmental outcomes.

523

This new set of principles for the design and application of green energy storage systems builds

524

upon the 12 engineering principles developed by Anastas and Zimmerman [19], but departs from

525

them in two key aspects. First, these principles are designed to directly address challenges and

526

issues of integration that relate to unique aspects of the deployment of these technologies.



Page 28 of 41

527

Secondly, the principles are grouped into three categories that target different audiences: namely

528

system operators, load serving entities, and energy storage systems designers.

529

For each principle, we provided examples of improved environmental outcomes, using published

530

studies, illustrative calculations, and a case study with an off-grid application of VRFB. These

531

principles are designed to be universally applicable to all energy storage technologies such as

532

various types of batteries, flywheels, pumped-storage hydroelectricity, and CAES. The grid

533

applications for these energy storage systems can also span a broad range including reserve

534

capacity, T&D upgrade deferral, and renewable integration, among others. Different

535

environmental impact categories including GHG emissions, resource depletion, criticality, and

536

toxicity were considered in these examples.

537

These principles provide broad guidance for design considerations, operations, and grid

538

integration that can yield sustainability improvements. When viewed in isolation, each of them

539

achieves this stated goal. However, in real applications, the principles may conflict with each

540

other and create the need to evaluate trade-offs. For example, Principle #7 seeks to increase

541

round-trip efficiency. On the other hand, enhancing the efficiency may require additional

542

materials or energy inputs, such as adding sulfuric acid to activate the graphite felt surface of

543

VRFB and decrease its internal resistance and consequently increase the round-trip efficiency

544

[82], [83]. This can increase the environmental impacts associated with the material production

545

and conflict with Principle #11, which focuses on decreasing an energy storage system’s material

546

production burden. Another example of such trade-offs relates to Principle #4, in which avoiding

547

oversizing energy storage systems, yield to environmental benefits. However, the use-phase may

548

dominate and displacing additional coal generation (Principle #1) may be well worth any


Page 29 of 41


549

material burdens associated with oversizing. Limiting energy storage system’s size may also lead

550

to degradation. This conflicts with Principle #5, which focuses on limiting degradation.

551

In such instances when the principles conflict, a robust sustainability assessment is required to

552

evaluate different options to find the most sustainable approach in energy storage systems’

553

design, deployment, and operation scenarios. The goal of this paper is to present a robust

554

framework to guide initial decisions, as well as identify such areas of conflict where further

555

analysis is needed. In future work, we will apply the principles in a sustainability assessment

556

algorithm based on LCA methods to evaluate the sustainability performance of different energy

557

storage systems to meet specific grid applications, particularly for cases where the principles

558

conflict.

559

560

Acknowledgments

561

This work was supported by the U.S. National Science Foundation’s Sustainable Energy

562

Pathways program (Grant #1230236: Non-Aqueous Redox Flow Battery Chemistries for

563

Sustainable Energy Storage).

564

Supporting Information

565

Additional information as noted in the text is provided in Supporting Information. This

566

information is available free of charge via the Internet at http://pubs.acs.org.

567 568 569



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570

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