Effective energy data management for low-carbon growth planning: An analytical framework for assessment. (August 2017)

• Record Type: Journal Article
• Authors: Liu, Bo; Evans, Meredydd; Yu, Sha; Roshchanka, Volha; Dukkipati, Srihari; Sreenivas, Ashok
• Is Part Of: Energy policy. Volume 107(2017)
• Page Start: 32
• Page End: 42
• Publication Date: 2017-08
• Subjects: AER Alberta Energy Regulator -- AGEB Working Group on Energy Balances -- APPA American Public Power Association -- BAFA Federal Office of Economics and Export Control -- BEE Bureau of Energy Efficiency -- BEIS Department for Business, Energy & Industrial Strategy -- BIS Department for Business, Innovation and Skills -- BMWi Federal Ministry for Economic Affairs and Energy -- CA The Coal Authority -- CBECS Commercial Buildings Energy Consumption Survey -- CCO Coal Controller's Organization -- CEA Central Electricity Authority -- CGPL Combustion, Gasification and Propulsion Laboratory -- DECC Department of Energy and Climate Change -- Destatis Federal Statistical Office -- DGH Directorate General of Hydrocarbons -- DLHS District Level Household and Facility Survey -- DOC Department of Commerce -- DOE Department of Energy -- DOTn Department of Transportation -- ECCC Environment and Climate Change Canada -- EIA Energy Information Administration -- ESCM Energy Statistics Compilers Manual -- FERC Federal Energy Regulatory Commission -- GSS Government Statistical Service -- IHDS India Human Development Survey -- InterEnerStat Intersecretariat Working Group on Energy Statistics -- IRES International Recommendations for Energy Statistics -- MNRE Ministry of New and Renewable Energy -- MoR Ministry of Railways -- MoRTH Ministry of Road Transport and Highways -- MoSPI Ministry of Statistics and Programme Implementation -- MoWR Ministry of Water Resources -- NEB National Energy Board -- NFHS National Family Health Survey -- NISE National Institute of Solar Energy -- NIWE National Institute of Wind Energy -- NRC Nuclear Regulatory Commission -- NRCan Natural Resources Canada -- NSSO National Sample Survey Office -- OEB Ontario Energy Board -- Ofgem Office of Gas and Electricity Markets -- OMB Office of Management and Budget -- ONS Office for National Statistics -- PPAC Petroleum Planning and Analysis Cell -- RECS Residential Energy Consumption Survey -- StatCan Statistics Canada; Keywords; Climate change -- Energy data management -- Low-carbon growth planning; Energy policy -- Periodicals; Politique énergétique -- Périodiques; Electronic journals; 333.79
• DOI: 10.1016/j.enpol.2017.03.059
• Languages: English
• ISSNs: 0301-4215

Abstract

Abstract: Readily available and reliable energy data is fundamental to effective analysis and policymaking for the energy sector. Energy statistics of high quality, systematically compiled and effectively disseminated, not only support governments to ensure national security and evaluate energy policies, but they also guide investment decisions in both the private and public sectors. Because of energy's close link to greenhouse gas emissions, energy data has a particularly important role in assessing emissions and strategies to reduce emissions. In this study, energy data management in four countries – Canada, Germany, the United Kingdom and the United States – are examined from both organizational and operational perspectives. With insights from these best practices, we present a framework for the evaluation of national energy data management systems. It can be used by national statistics compilers to assess their chosen model and to identify areas for improvement. We then use India as a test case for this framework to assess how India may adapt and evolve its energy data management systems. Its government is working to enhance India's energy data management to improve sustainable growth planning. Highlights: Countries have adopted different organizational models for their energy data management. Effective energy data management requires a set of common core principles. Quality assurance is a core challenge for agencies that collect and disseminate energy data. Data dissemination is as important as data collection.