Abstract
The goal to achieve a sustainable society that will endure over the long term is generally regarded as a positive evolutionary course. One of the challenges with this goal is developing a quantitative assessment of the sustainability of a system. Despite the different measures available in the literature, a standard and universally accepted index for assessing sustainability does not yet exist. Here, we develop a novel integrated sustainability index (ISI) for energy systems that considers critical multidimensional sustainability criteria. The originality of this new index is that it incorporates fundamental thermodynamic, economic, and environmental constraints to combine indicators from multiple dimensions into a single-score evaluation of sustainability. The index is therefore unique because it can assess sustainability relative to an ideal reference state instead of being limited to ranking systems via relative assessments. The ISI is applied to a stand-alone solar-PV-battery system designed to meet the needs of a small community in Southern Ontario. The ISI of the system ranges from 0.52 to 0.66, where one is considered to be a sustainable system. The weighting factors associated with critical economic and global environmental criteria have the greatest effect on the ISI. This index is expected to prove useful as a high-level, multi-criteria decision analysis tool for understanding and fostering sustainable energy systems, alone or in concert with other approaches.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Abbreviations
- a :
-
Azimuth angle, °
- A :
-
Dimensional sustainability indicator
- B :
-
Nondimensional sustainability indicator
- Cn :
-
Clearness number
- k C :
-
Local extinction coefficient
- \( \dot{Q} \) :
-
Heat rate, kW
- W :
-
Weighting factor
- β :
-
Collector tilt angle, °
- θ :
-
Elevation angle, °
- Ï• :
-
Incidence angle, °
- Col:
-
Collector
- ETR:
-
Extraterrestrial radiation
- i:
-
Sub-indicator
- j:
-
Category indicator
- m:
-
Number of sub-indicators
- n:
-
Number of category indicators
- T:
-
Target
- ADP:
-
Abiotic depletion potential
- AF:
-
Affordability
- APP:
-
Air pollution potential
- CFC:
-
Chlorofluorocarbon
- CV:
-
Commercial viability
- EF:
-
Economic factor
- EnER:
-
Energy efficiency ratio
- EP:
-
Eutrophication potential
- ER:
-
Efficiency ratio
- ExER:
-
Exergy efficiency ratio
- FAETP:
-
Freshwater aquatic ecotoxicity potential
- GEIP:
-
Global environmental impact potential
- GWP:
-
Global warming potential
- IPCC:
-
Intergovernmental panel on climate change
- ISI:
-
Integrated sustainability index
- MAETP:
-
Marine aquatic ecotoxicity potential
- PM:
-
Particulate matter
- SF:
-
Size factor
- SODP:
-
Stratospheric ozone depletion potential
- WPP:
-
Water pollution potential
- CO:
-
Carbon monoxide
- CO2 :
-
Carbon dioxide
- N2O:
-
Nitrous oxide
- NO2 :
-
Nitrogen dioxide
- O3 :
-
Ozone
- Pb:
-
Lead
- SO2 :
-
Sulphur dioxide
References
Tainter JA (1988) The collapse of complex societies. Cambridge University Press, Cambridge
Dewulf H, Van Langenhove H, Mulder J, van den Berg MMD, van der Kooi HJ, de Swaan Arons J (2000) Illustrations towards quantifying the sustainability of technology. Green Chem 2:108–114
Ferrari S, Genoud S, Lesourd J (2001) Thermodynamics and economics: towards exergy-based indicators of sustainable development. Swiss J Econ Stat 137:319–336
Midilli A, Dincer I (2009) Development of some exergetic parameters for PEM fuel cells for measuring environmental impact and sustainability. Int J Hydrogen Energy 34:3858–3872
Rosen MA, Dincer I, Kanoglu M (2008) Role of exergy in increasing efficiency and sustainability and reducing environmental impact. Energy Policy 36:128–137
Sciubba E, Zullo F (2011) Is sustainability a thermodynamic concept? Int J Exergy 8:68–85
Dincer I, Zamfirescu C (2012) Potential options to greenize energy systems. Energy 46:5–15
Rosen MA (2009) Energy sustainability: a pragmatic approach and illustrations. Sustainability 1:55–80
Zvolinschi A, Kjelstrup S, Bolland O, van der Kooi HJ (2007) Exergy sustainability indicators as a tool in industrial ecology. J Ind Ecol 11:85–98
Evans A, Strezov V, Evans TJ (2009) Assessment of sustainability indicators for renewable energy technologies. Renew Sustain Energy Rev 13:1082–1088
Gnanapragasam NV, Reddy BV, Rosen MA (2010) A methodology for assessing the sustainability of hydrogen production from solid fuels. Sustainability 2:1472–1491
Afgan NH, Carvalho MG, Hovanov NV (2000) Energy system assessment with sustainability indicators. Energy Policy 28:603–612
Afgan NH, Carvalho MG (2002) Multi-criteria assessment of new and renewable energy power plants. Energy 27:739–755
Afgan NH (2010) Sustainability paradigm: intelligent energy system. Sustainability 2:3812–3830
Frangopoulos CA, Keramioti DE (2010) Multi-criteria evaluation of energy systems with sustainability considerations. Entropy 12:1006–1020
Rowley HV, Peters GM, Lundie S, Moore SJ (2012) Aggregating sustainability indicators: beyond the weighted sum. J Environ Manage 111:24–33
Guinée JB (2002) Handbook on life cycle assessment: Operation guide to the ISO standards. Kluwer Academic, New York
Ahlroth S, Nilsson M, Finnveden G, Hjelm O, Hochschorner E (2011) Weighting and valuation in selected environmental systems analysis tools—suggestions for further developments. J Cleaner Prod 19:145–156
Carifio J, Perla RJ (2007) Ten common misunderstandings, misconceptions, persistent myths and urban legends about Likert scales and Likert response formats and their antidotes. J Soc Sci 3:106–116
Neuman WL (2010) Social research methods: qualitative and quantitative approaches. Pearson PLC, London
Hacatoglu K (2014) A systems approach to assessing the sustainability of hybrid community energy systems. Unpublished doctoral dissertation, University of Ontario Institute of Technology (UOIT), Oshawa
Saldanha N, Beausoleil-Morrison I (2012) Measured end-use electric load profiles for 12 Canadian houses at high temporal resolution. Energy Build 49:519–530
Kreith F, Kreider JF (2011) Principles of sustainable energy. CRC, Boca Raton
Weather Network (2014) Statistics: Toronto, Ontario, Canada. http://past.theweathernetwork.com/statistics/CL6158350. Accessed 10 Sept 2014
Statistics Canada (2012) Median after-tax income, by economic family type, 2010 constant dollars, annual (CANSIM Table 202-0605). Ottawa
Fankhauser S, Tepic S (2007) Can poor consumers pay for energy and water? An affordability analysis for transition countries. Energy Policy 35:1038–1049
IPCC (2013) Summary for policymakers. In: Stocker TF, Qin D, Plattner GK, Tignor M, Allen SK et al (eds) Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge
Ravishankara AR, Daniel JS, Portmann RW (2009) Nitrous oxide (N2O): the dominant ozone-depleting substance emitted in the 21st century. Science 326:123–125
Goedkoop M, Spriensma R (2000) The Eco-Indicator 99: a damage oriented method for life cycle impact assessment. PRe Consultants, Amersfoort
Acknowledgement
The authors gratefully acknowledge the support provided by the Natural Sciences and Engineering Research Council of Canada.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Hacatoglu, K., Dincer, I., Rosen, M.A. (2015). Sustainability Assessment of Hybrid Community Energy Systems. In: Dincer, I., Colpan, C., Kizilkan, O., Ezan, M. (eds) Progress in Clean Energy, Volume 1. Springer, Cham. https://doi.org/10.1007/978-3-319-16709-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-16709-1_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16708-4
Online ISBN: 978-3-319-16709-1
eBook Packages: EnergyEnergy (R0)