Integrating Climate Model Data into Power System Planning

Significant multiyear and multi decade variations in intermittent renewable resources hold major implications for power system investments. They have been using extensive hydrology data for many years to represent hydrological risks in their planni...

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Main Authors:	Chattopadhyay, Debabrata, Jordan, Rhonda L.
Format:	Brief
Language:	English en_US
Published:	World Bank, Washington, DC 2015
Subjects:	ACCESS TO MODERN ENERGY ATMOSPHERE ATMOSPHERIC DATA AVAILABILITY BALANCE BOTTOM LINE BRIQUETTES CLIMATE CLIMATE CHANGE CLIMATE SCENARIOS CLIMATE SYSTEM CLIMATIC CHANGE CO COAL DEMAND FOR POWER DROUGHT EL NINO ELECTRICITY ELECTRICITY CONSUMPTION ELECTRICITY DEMAND ELECTRIFICATION EMISSIONS ENERGY ACCESS ENERGY CENTER ENERGY CONSUMPTION ENERGY DATA ENERGY DEMAND ENERGY EFFICIENCY ENERGY INTENSITY ENERGY INVESTMENTS ENERGY MIX ENERGY RESOURCE ENERGY SECTOR ENERGY SERVICES ENERGY SOURCES EVAPORATION FOREST FOREST RESIDUES FUEL FUELS GASEOUS FUELS GCM GENERAL CIRCULATION MODEL GENERATING CAPACITY GENERATION GENERATION CAPACITY GLOBAL ENERGY MIX GLOBAL ENVIRONMENT GRID GRID INTEGRATION GROSS DOMESTIC PRODUCT HEATING HEATING FUELS HOUSEHOLD ENERGY HYDRO POWER HYDRO RESOURCES HYDROLOGICAL CYCLE HYDROLOGY HYDROPOWER INTERNATIONAL ENERGY AGENCY INVESTMENTS IN ENERGY LIQUEFIED PETROLEUM GAS LOAD SHEDDING METEOROLOGY MODERN WORLD NATURAL HAZARDS ONSHORE WIND PEAK DEMAND PELLETS PETROLEUM PETROLEUM GAS PIPELINE POWER POWER GENERATION POWER GENERATION CAPACITY POWER MIX POWER SYSTEM POWER SYSTEM PLANNING POWER SYSTEMS PRECIPITATION PRIMARY ENERGY RAINFALL RENEWABLE ENERGY RENEWABLE ENERGY RESOURCES RENEWABLE ENERGY SOURCES RENEWABLE RESOURCE RENEWABLE RESOURCES RENEWABLE_ENERGY SEA LEVELS SOLAR ENERGY SOLAR IRRADIANCE SOLAR RADIATION SOLAR RESOURCES SOLID FUELS SUSTAINABLE ENERGY SUSTAINABLE_ENERGY TEMPERATURE TRADITIONAL BIOMASS WIND WIND CAPACITY WIND DATA WIND ENERGY WIND ENERGY POTENTIAL WIND POTENTIAL WIND POWER WIND RESOURCE WIND RESOURCES WIND SPEED WIND-POWER WINDS
Online Access:	http://documents.worldbank.org/curated/en/2015/01/24381669/integrating-climate-model-data-power-system-planning http://hdl.handle.net/10986/21764

id	okr-10986-21764
recordtype	oai_dc
spelling	okr-10986-217642021-04-23T14:04:05Z Integrating Climate Model Data into Power System Planning Chattopadhyay, Debabrata Jordan, Rhonda L. ACCESS TO MODERN ENERGY ATMOSPHERE ATMOSPHERIC DATA AVAILABILITY BALANCE BOTTOM LINE BRIQUETTES CLIMATE CLIMATE CHANGE CLIMATE SCENARIOS CLIMATE SYSTEM CLIMATIC CHANGE CO COAL DEMAND FOR POWER DROUGHT EL NINO ELECTRICITY ELECTRICITY CONSUMPTION ELECTRICITY DEMAND ELECTRIFICATION EMISSIONS ENERGY ACCESS ENERGY CENTER ENERGY CONSUMPTION ENERGY DATA ENERGY DEMAND ENERGY EFFICIENCY ENERGY INTENSITY ENERGY INVESTMENTS ENERGY MIX ENERGY RESOURCE ENERGY SECTOR ENERGY SERVICES ENERGY SOURCES EVAPORATION FOREST FOREST RESIDUES FUEL FUELS GASEOUS FUELS GCM GENERAL CIRCULATION MODEL GENERATING CAPACITY GENERATION GENERATION CAPACITY GLOBAL ENERGY MIX GLOBAL ENVIRONMENT GRID GRID INTEGRATION GROSS DOMESTIC PRODUCT HEATING HEATING FUELS HOUSEHOLD ENERGY HYDRO POWER HYDRO RESOURCES HYDROLOGICAL CYCLE HYDROLOGY HYDROPOWER INTERNATIONAL ENERGY AGENCY INVESTMENTS IN ENERGY LIQUEFIED PETROLEUM GAS LOAD SHEDDING METEOROLOGY MODERN WORLD NATURAL HAZARDS ONSHORE WIND PEAK DEMAND PELLETS PETROLEUM PETROLEUM GAS PIPELINE POWER POWER GENERATION POWER GENERATION CAPACITY POWER MIX POWER SYSTEM POWER SYSTEM PLANNING POWER SYSTEMS PRECIPITATION PRIMARY ENERGY RAINFALL RENEWABLE ENERGY RENEWABLE ENERGY RESOURCES RENEWABLE ENERGY SOURCES RENEWABLE RESOURCE RENEWABLE RESOURCES RENEWABLE_ENERGY SEA LEVELS SOLAR ENERGY SOLAR IRRADIANCE SOLAR RADIATION SOLAR RESOURCES SOLID FUELS SUSTAINABLE ENERGY SUSTAINABLE_ENERGY TEMPERATURE TRADITIONAL BIOMASS WIND WIND CAPACITY WIND DATA WIND ENERGY WIND ENERGY POTENTIAL WIND POTENTIAL WIND POWER WIND RESOURCE WIND RESOURCES WIND SPEED WIND-POWER WINDS Significant multiyear and multi decade variations in intermittent renewable resources hold major implications for power system investments. They have been using extensive hydrology data for many years to represent hydrological risks in their planning. Climate model data are particularly suited for the assessment of longer-term variability. A good grasp of seasonal, multiyear, and multi decade trends is essential in assessing the economic merits of investments in renewable resources and the extent to which such resources can complement one other or may need to be backed up by further investments in nonrenewable sources. For instance, planners of hydro-dominated systems have learned to use risk-based criteria such as so-called 1-in-50-year drought coverage to deal with the risk posed by extremely dry years. That climate models can provide scenarios over several decades makes them equally applicable to wind and solar planning. Good-quality data generated by climate models - both historical and projected over decades are available for all countries at little or no cost. Such data can and should form part of power system planning, complementing more detailed, but expensive, renewable energy resource mapping and actual observations and measurements of wind, solar, and hydro power. 2015-04-21T18:27:56Z 2015-04-21T18:27:56Z 2015 Brief http://documents.worldbank.org/curated/en/2015/01/24381669/integrating-climate-model-data-power-system-planning http://hdl.handle.net/10986/21764 English en_US Live Wire, 2015/43 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Brief India
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English en_US
topic	ACCESS TO MODERN ENERGY ATMOSPHERE ATMOSPHERIC DATA AVAILABILITY BALANCE BOTTOM LINE BRIQUETTES CLIMATE CLIMATE CHANGE CLIMATE SCENARIOS CLIMATE SYSTEM CLIMATIC CHANGE CO COAL DEMAND FOR POWER DROUGHT EL NINO ELECTRICITY ELECTRICITY CONSUMPTION ELECTRICITY DEMAND ELECTRIFICATION EMISSIONS ENERGY ACCESS ENERGY CENTER ENERGY CONSUMPTION ENERGY DATA ENERGY DEMAND ENERGY EFFICIENCY ENERGY INTENSITY ENERGY INVESTMENTS ENERGY MIX ENERGY RESOURCE ENERGY SECTOR ENERGY SERVICES ENERGY SOURCES EVAPORATION FOREST FOREST RESIDUES FUEL FUELS GASEOUS FUELS GCM GENERAL CIRCULATION MODEL GENERATING CAPACITY GENERATION GENERATION CAPACITY GLOBAL ENERGY MIX GLOBAL ENVIRONMENT GRID GRID INTEGRATION GROSS DOMESTIC PRODUCT HEATING HEATING FUELS HOUSEHOLD ENERGY HYDRO POWER HYDRO RESOURCES HYDROLOGICAL CYCLE HYDROLOGY HYDROPOWER INTERNATIONAL ENERGY AGENCY INVESTMENTS IN ENERGY LIQUEFIED PETROLEUM GAS LOAD SHEDDING METEOROLOGY MODERN WORLD NATURAL HAZARDS ONSHORE WIND PEAK DEMAND PELLETS PETROLEUM PETROLEUM GAS PIPELINE POWER POWER GENERATION POWER GENERATION CAPACITY POWER MIX POWER SYSTEM POWER SYSTEM PLANNING POWER SYSTEMS PRECIPITATION PRIMARY ENERGY RAINFALL RENEWABLE ENERGY RENEWABLE ENERGY RESOURCES RENEWABLE ENERGY SOURCES RENEWABLE RESOURCE RENEWABLE RESOURCES RENEWABLE_ENERGY SEA LEVELS SOLAR ENERGY SOLAR IRRADIANCE SOLAR RADIATION SOLAR RESOURCES SOLID FUELS SUSTAINABLE ENERGY SUSTAINABLE_ENERGY TEMPERATURE TRADITIONAL BIOMASS WIND WIND CAPACITY WIND DATA WIND ENERGY WIND ENERGY POTENTIAL WIND POTENTIAL WIND POWER WIND RESOURCE WIND RESOURCES WIND SPEED WIND-POWER WINDS
spellingShingle	ACCESS TO MODERN ENERGY ATMOSPHERE ATMOSPHERIC DATA AVAILABILITY BALANCE BOTTOM LINE BRIQUETTES CLIMATE CLIMATE CHANGE CLIMATE SCENARIOS CLIMATE SYSTEM CLIMATIC CHANGE CO COAL DEMAND FOR POWER DROUGHT EL NINO ELECTRICITY ELECTRICITY CONSUMPTION ELECTRICITY DEMAND ELECTRIFICATION EMISSIONS ENERGY ACCESS ENERGY CENTER ENERGY CONSUMPTION ENERGY DATA ENERGY DEMAND ENERGY EFFICIENCY ENERGY INTENSITY ENERGY INVESTMENTS ENERGY MIX ENERGY RESOURCE ENERGY SECTOR ENERGY SERVICES ENERGY SOURCES EVAPORATION FOREST FOREST RESIDUES FUEL FUELS GASEOUS FUELS GCM GENERAL CIRCULATION MODEL GENERATING CAPACITY GENERATION GENERATION CAPACITY GLOBAL ENERGY MIX GLOBAL ENVIRONMENT GRID GRID INTEGRATION GROSS DOMESTIC PRODUCT HEATING HEATING FUELS HOUSEHOLD ENERGY HYDRO POWER HYDRO RESOURCES HYDROLOGICAL CYCLE HYDROLOGY HYDROPOWER INTERNATIONAL ENERGY AGENCY INVESTMENTS IN ENERGY LIQUEFIED PETROLEUM GAS LOAD SHEDDING METEOROLOGY MODERN WORLD NATURAL HAZARDS ONSHORE WIND PEAK DEMAND PELLETS PETROLEUM PETROLEUM GAS PIPELINE POWER POWER GENERATION POWER GENERATION CAPACITY POWER MIX POWER SYSTEM POWER SYSTEM PLANNING POWER SYSTEMS PRECIPITATION PRIMARY ENERGY RAINFALL RENEWABLE ENERGY RENEWABLE ENERGY RESOURCES RENEWABLE ENERGY SOURCES RENEWABLE RESOURCE RENEWABLE RESOURCES RENEWABLE_ENERGY SEA LEVELS SOLAR ENERGY SOLAR IRRADIANCE SOLAR RADIATION SOLAR RESOURCES SOLID FUELS SUSTAINABLE ENERGY SUSTAINABLE_ENERGY TEMPERATURE TRADITIONAL BIOMASS WIND WIND CAPACITY WIND DATA WIND ENERGY WIND ENERGY POTENTIAL WIND POTENTIAL WIND POWER WIND RESOURCE WIND RESOURCES WIND SPEED WIND-POWER WINDS Chattopadhyay, Debabrata Jordan, Rhonda L. Integrating Climate Model Data into Power System Planning
geographic_facet	India
relation	Live Wire, 2015/43
description	Significant multiyear and multi decade variations in intermittent renewable resources hold major implications for power system investments. They have been using extensive hydrology data for many years to represent hydrological risks in their planning. Climate model data are particularly suited for the assessment of longer-term variability. A good grasp of seasonal, multiyear, and multi decade trends is essential in assessing the economic merits of investments in renewable resources and the extent to which such resources can complement one other or may need to be backed up by further investments in nonrenewable sources. For instance, planners of hydro-dominated systems have learned to use risk-based criteria such as so-called 1-in-50-year drought coverage to deal with the risk posed by extremely dry years. That climate models can provide scenarios over several decades makes them equally applicable to wind and solar planning. Good-quality data generated by climate models - both historical and projected over decades are available for all countries at little or no cost. Such data can and should form part of power system planning, complementing more detailed, but expensive, renewable energy resource mapping and actual observations and measurements of wind, solar, and hydro power.
format	Brief
author	Chattopadhyay, Debabrata Jordan, Rhonda L.
author_facet	Chattopadhyay, Debabrata Jordan, Rhonda L.
author_sort	Chattopadhyay, Debabrata
title	Integrating Climate Model Data into Power System Planning
title_short	Integrating Climate Model Data into Power System Planning
title_full	Integrating Climate Model Data into Power System Planning
title_fullStr	Integrating Climate Model Data into Power System Planning
title_full_unstemmed	Integrating Climate Model Data into Power System Planning
title_sort	integrating climate model data into power system planning
publisher	World Bank, Washington, DC
publishDate	2015
url	http://documents.worldbank.org/curated/en/2015/01/24381669/integrating-climate-model-data-power-system-planning http://hdl.handle.net/10986/21764
_version_	1764449337616629760

Integrating Climate Model Data into Power System Planning

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