Ecological payback in Brazil energy matrix: analysis of a wind energy expansion

Sustainable development concern has become subject of recurrent discussions over the last years due to the duet large greenhouse gases emissions and world growth, especially in developing countries. Electrical sector is one of the major segments responsible for greenhouse gases emissions, but also the one in which modern society depends the most for life standard maintenance, economic and social activities. A renewable source considered in Brazilian energy sector expansion is wind power, which has a 143 GW potential. As such, the paper aims to estimate environmental impacts (CO2 emission) involved in wind power plants construction phase and return time for compensating these emissions during operation. Ecological payback is developed through CO2 emission analysis of different energy sectors required as inputs in construction and final emission reduction due to this “clean” power plant operation in national electrical matrix. Estimation of economic and environmental impacts is based on input-output methodology, using a 2004 matrix for Brazilian economy. Results point out for a maximum payback period of 4 months in worst case scenario, and major pollution contribution of Steel and Products Manufacturing during construction.Input-Output; Environmental Sustainability; Energy Economics; Wind Energy; Brazil

Ecological payback in national energy matrix: analysis of wind energy expansion

Sustainable development concern has become subject of recurrent discussions over the last years due to the duet large greenhouse gases emissions and world growth, especially in developing countries. Electrical sector is one of the major segments responsible for greenhouse gases emissions, but also the one in which modern society depends the most for life standard maintenance, economic and social activities. A renewable source considered in Brazilian energy sector expansion is wind power, which has a 143 GW potential. As such, the paper aims to estimate environmental impacts (CO2 emission) involved in wind power plants construction phase and return time for compensating these emissions during operation. Ecological payback is developed through CO2 emission analysis of different energy sectors required as inputs in construction and final emission reduction due to this “clean” power plant operation in national electrical matrix. Estimation of economic and environmental impacts is based on input-output methodology, using a 2004 matrix for Brazilian economy. Results point out for a maximum payback period of 4 months in worst case scenario, and major pollution contribution of Steel and Products Manufacturing during construction.Input-Output; Environmental Sustainability; Energy Economics; Wind Energy

Ecological payback in Brazil energy matrix: analysis of a wind energy expansion

Sustainable development concern has become subject of recurrent discussions over the last years due to the duet large greenhouse gases emissions and world growth, especially in developing countries. Electrical sector is one of the major segments responsible for greenhouse gases emissions, but also the one in which modern society depends the most for life standard maintenance, economic and social activities. A renewable source considered in Brazilian energy sector expansion is wind power, which has a 143 GW potential. As such, the paper aims to estimate environmental impacts (CO2 emission) involved in wind power plants construction phase and return time for compensating these emissions during operation. Ecological payback is developed through CO2 emission analysis of different energy sectors required as inputs in construction and final emission reduction due to this “clean” power plant operation in national electrical matrix. Estimation of economic and environmental impacts is based on input-output methodology, using a 2004 matrix for Brazilian economy. Results point out for a maximum payback period of 4 months in worst case scenario, and major pollution contribution of Steel and Products Manufacturing during construction

Ecological payback in Brazil energy matrix: analysis of a wind energy expansion

Sustainable development concern has become subject of recurrent discussions over the last years due to the duet large greenhouse gases emissions and world growth, especially in developing countries. Electrical sector is one of the major segments responsible for greenhouse gases emissions, but also the one in which modern society depends the most for life standard maintenance, economic and social activities. A renewable source considered in Brazilian energy sector expansion is wind power, which has a 143 GW potential. As such, the paper aims to estimate environmental impacts (CO2 emission) involved in wind power plants construction phase and return time for compensating these emissions during operation. Ecological payback is developed through CO2 emission analysis of different energy sectors required as inputs in construction and final emission reduction due to this “clean” power plant operation in national electrical matrix. Estimation of economic and environmental impacts is based on input-output methodology, using a 2004 matrix for Brazilian economy. Results point out for a maximum payback period of 4 months in worst case scenario, and major pollution contribution of Steel and Products Manufacturing during construction

Ecological payback in national energy matrix: analysis of wind energy expansion

Sustainable development concern has become subject of recurrent discussions over the last years due to the duet large greenhouse gases emissions and world growth, especially in developing countries. Electrical sector is one of the major segments responsible for greenhouse gases emissions, but also the one in which modern society depends the most for life standard maintenance, economic and social activities. A renewable source considered in Brazilian energy sector expansion is wind power, which has a 143 GW potential. As such, the paper aims to estimate environmental impacts (CO2 emission) involved in wind power plants construction phase and return time for compensating these emissions during operation. Ecological payback is developed through CO2 emission analysis of different energy sectors required as inputs in construction and final emission reduction due to this “clean” power plant operation in national electrical matrix. Estimation of economic and environmental impacts is based on input-output methodology, using a 2004 matrix for Brazilian economy. Results point out for a maximum payback period of 4 months in worst case scenario, and major pollution contribution of Steel and Products Manufacturing during construction

Ecological payback in national energy matrix: analysis of wind energy expansion

Sustainable development concern has become subject of recurrent discussions over the last years due to the duet large greenhouse gases emissions and world growth, especially in developing countries. Electrical sector is one of the major segments responsible for greenhouse gases emissions, but also the one in which modern society depends the most for life standard maintenance, economic and social activities. A renewable source considered in Brazilian energy sector expansion is wind power, which has a 143 GW potential. As such, the paper aims to estimate environmental impacts (CO2 emission) involved in wind power plants construction phase and return time for compensating these emissions during operation. Ecological payback is developed through CO2 emission analysis of different energy sectors required as inputs in construction and final emission reduction due to this “clean” power plant operation in national electrical matrix. Estimation of economic and environmental impacts is based on input-output methodology, using a 2004 matrix for Brazilian economy. Results point out for a maximum payback period of 4 months in worst case scenario, and major pollution contribution of Steel and Products Manufacturing during construction

The economic, environmental and public health impacts of new power plants: a sequential interindustry model integrated with GIS data

The electrical sector is responsible for a considerable amount of greenhouse gases emissions worldwide, but also the one in which modern society depends the most for maintenance of quality of life as well as the functioning of economic and social activities. Invariably, even CO2 emission-free power plants have some indirect environmental impacts due to the economic effects they produce during their life cycle (construction, O&M and decommissioning). Thus, sustainability issues should be always considered in energy planning, by evaluating the balance of positive/negative externalities on different areas of the country. This study aims to introduce a social-environmental economic model, based on a Regional Sequential Interindustry Model (SIM) integrated with geoprocessing data, in order to identify economic, pollution and public health impacts in state level for energy planning analysis. The model is based on the Impact Pathway Approach Methodology, using geoprocessing to locate social-environmental variables for dispersion and health evaluations. The final goal is to provide an auxiliary tool for policy makers to assess energy planning scenarios in Brazil

The economic, environmental and public health impacts of new power plants: a sequential interindustry model integrated with GIS data

The electrical sector is responsible for a considerable amount of greenhouse gases emissions worldwide, but also the one in which modern society depends the most for maintenance of quality of life as well as the functioning of economic and social activities. Invariably, even CO2 emission-free power plants have some indirect environmental impacts due to the economic effects they produce during their life cycle (construction, O&M and decommissioning). Thus, sustainability issues should be always considered in energy planning, by evaluating the balance of positive/negative externalities on different areas of the country. This study aims to introduce a social-environmental economic model, based on a Regional Sequential Interindustry Model (SIM) integrated with geoprocessing data, in order to identify economic, pollution and public health impacts in state level for energy planning analysis. The model is based on the Impact Pathway Approach Methodology, using geoprocessing to locate social-environmental variables for dispersion and health evaluations. The final goal is to provide an auxiliary tool for policy makers to assess energy planning scenarios in Brazil