Literature DB >> 33552561

Understanding Technology, Fuel, Market and Policy Drivers for New York State's Power Sector Transformation.

Mine Isik1, P Ozge Kaplan1.   

Abstract

A thorough understanding of the drivers that affect the emission levels from electricity generation, support sound design and the implementation of further emission reduction goals are presented here. For instance, New York State has already committed a transition to 100% clean energy by 2040. This paper identifies the relationships among driving factors and the changes in emissions levels between 1990 and 2050 using the logarithmic mean divisia index analysis. The analysis relies on historical data and outputs from techno-economic-energy system modeling to elude future power sector pathways. Three scenarios, including a business-as-usual scenario and two policy scenarios, explore the changes in utility structure, efficiency, fuel type, generation, and emission factors, considering the non-fossil-based technology options and air regulations. We present retrospective and prospective analysis of carbon dioxide, sulfur dioxide, nitrogen oxide emissions for the New York State's power sector. Based on our findings, although the intensity varies by period and emission type, in aggregate, fossil fuel mix change can be defined as the main contributor to reduce emissions. Electricity generation level variations and technical efficiency have relatively smaller impacts. We also observe that increased emissions due to nuclear phase-out will be avoided by the onshore and offshore wind with a lower fraction met by solar until 2050.

Entities:  

Keywords:  CO2 emissions; LMDI; MARKAL; NOx emissions; SO2 emissions; decomposition analysis; energy systems analysis; energy use; power sector

Year:  2020        PMID: 33552561      PMCID: PMC7863593          DOI: 10.3390/su13010265

Source DB:  PubMed          Journal:  Sustainability        ISSN: 2071-1050            Impact factor:   3.251


  10 in total

1.  Role of natural gas in meeting an electric sector emissions reduction strategy and effects on greenhouse gas emissions.

Authors:  Carol Lenox; P Ozge Kaplan
Journal:  Energy Econ       Date:  2016

2.  Emissions reductions from expanding state-level renewable portfolio standards.

Authors:  Jeremiah X Johnson; Joshua Novacheck
Journal:  Environ Sci Technol       Date:  2015-04-17       Impact factor: 9.028

3.  Implications of near-term coal power plant retirement for SO2 and NOX and life cycle GHG emissions.

Authors:  Aranya Venkatesh; Paulina Jaramillo; W Michael Griffin; H Scott Matthews
Journal:  Environ Sci Technol       Date:  2012-08-27       Impact factor: 9.028

4.  What is the role of distributed energy resources under scenarios of greenhouse gas reductions? A specific focus on combined heat and power systems in the industrial and commercial sectors.

Authors:  P Ozge Kaplan; Jonathan W Witt
Journal:  Appl Energy       Date:  2019-02-01       Impact factor: 9.746

5.  Analysis on the influencing factors of carbon emission in China's logistics industry based on LMDI method.

Authors:  Chunguang Quan; Xiaojuan Cheng; Shasha Yu; Xin Ye
Journal:  Sci Total Environ       Date:  2020-04-26       Impact factor: 7.963

6.  Driving forces of China's CO2 emissions from energy consumption based on Kaya-LMDI methods.

Authors:  Jie Yang; Wei Cai; Minda Ma; Li Li; Conghu Liu; Xin Ma; Lingling Li; Xingzheng Chen
Journal:  Sci Total Environ       Date:  2019-11-21       Impact factor: 7.963

7.  Dynamic Management of NOx and SO2 Emissions in the Texas and Mid-Atlantic Electric Power Systems and Implications for Air Quality.

Authors:  Elena McDonald-Buller; Yosuke Kimura; Michael Craig; Gary McGaughey; David Allen; Mort Webster
Journal:  Environ Sci Technol       Date:  2016-01-15       Impact factor: 9.028

8.  Exploring the role of natural gas power plants with carbon capture and storage as a bridge to a low-carbon future.

Authors:  Samaneh Babaee; Daniel H Loughlin
Journal:  Clean Technol Environ Policy       Date:  2017-12-22       Impact factor: 3.636

9.  Provincial-level industrial CO2 emission drivers and emission reduction strategies in China: Combining two-layer LMDI method with spectral clustering.

Authors:  Lei Wen; Zhenkai Li
Journal:  Sci Total Environ       Date:  2019-09-13       Impact factor: 7.963

  10 in total

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