An optimization method for energy structures based on life cycle assessment and its application to the power grid in China.

The optimization of energy structures, aimed at saving energy and reducing emissions, is an important precautionary measure against climate change. This study considers different environmental impacts of power systems, and investigates ways to optimize power structures and decrease their potential environmental impact. A multi-objectives optimization model of energy structures was created based on life cycle assessment (LCA). This model covers several environment impacts, rather than only focusing on carbon emissions. LCA was used to calculate the different environmental impacts and provided a new method for normalization. The model was applied to the power industry in China. Three kinds of environmental impacts were considered: material input (MI), global warming potential (GWP), and water deprivation (WD). The five major existing methods of electricity generation in China were considered: thermal power, nuclear power, hydro power, wind power, and solar photovoltaic power. The system boundary included all life cycle stages; specifically, extraction of raw materials and resources, production, energy generation processes, and power transport. The optimization results showed that the total environmental impacts were reduced; MI, GWP, and WD were decreased by 29.53%, 29.67%, and 19.06%, respectively. This method provides new insights into optimization of energy structures by considering multi-environment impacts.

[1]  Gorka Bueno,et al.  The energy requirements of a developed world , 2016 .

[2]  Liao Yanfe.  Life cycle assessment of hydropower technology , 2013 .

[3]  Pedro Marques,et al.  Life-cycle assessment of electricity in Portugal , 2014 .

[4]  David Styles,et al.  Life cycle environmental balance and greenhouse gas mitigation potential of micro-hydropower energy recovery in the water industry , 2015 .

[5]  Kebin He,et al.  Energy policy: A low-carbon road map for China , 2013, Nature.

[6]  Dominic C.Y. Foo,et al.  Pinch analysis approach to carbon-constrained energy sector planning , 2007 .

[7]  M. Goedkoop,et al.  The Eco-indicator 99, A damage oriented method for Life Cycle Impact Assessment , 1999 .

[8]  Jiang Zi-yin,et al.  Greenhouse gas emissions from nuclear power chain life cycle in China , 2015 .

[9]  E. Hertwich,et al.  Integrated life-cycle assessment of electricity-supply scenarios confirms global environmental benefit of low-carbon technologies , 2014, Proceedings of the National Academy of Sciences.

[10]  Dong Yang,et al.  Life-cycle assessment of China's multi-crystalline silicon photovoltaic modules considering international trade , 2015 .

[11]  S. Pfister,et al.  Assessing the environmental impacts of freshwater consumption in LCA. , 2009, Environmental science & technology.

[12]  Dominic C.Y. Foo,et al.  Optimal energy planning models with carbon footprint constraints , 2010 .

[13]  Xunmin Ou,et al.  Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China , 2011 .

[14]  S. Bhattacharyya.  Energy access programmes and sustainable development: A critical review and analysis , 2012 .

[15]  Longyu Shi,et al.  Prediction of long-term energy consumption trends under the New National Urbanization Plan in China , 2017 .

[16]  Denny K. S. Ng,et al.  Pinch analysis approach to carbon-constrained planningfor sustainable power generation , 2009 .

[17]  Ning Ding,et al.  Water footprints of energy sources in China: Exploring options to improve water efficiency , 2018 .

[18]  Denny K. S. Ng,et al.  Extended pinch targeting techniques for carbon-constrained energy sector planning , 2009 .

[19]  Martin John Atkins,et al.  Carbon Emissions Pinch Analysis for emissions reductions in the New Zealand transport sector through to 2050 , 2015 .

[20]  Arjen Ysbert Hoekstra,et al.  The Water Footprint Assessment Manual , 2011 .

[21]  Martin John Atkins,et al.  CARBON EMISSIONS PINCH ANALYSIS (CEPA) FOR EMISSIONS REDUCTION IN THE NEW ZEALAND ELECTRICITY SECTOR , 2010 .

[22]  中華人民共和国国家統計局.  China statistical yearbook , 1988 .

[23]  Santanu Bandyopadhyay,et al.  Multi-objective pinch analysis for power system planning , 2017 .

[24]  Ning Ding,et al.  Comparative life cycle assessment of regional electricity supplies in China , 2017 .