Abstract
The report describes a model for a computerized simulation programme developed for economic assessment of smaller combined heat and power plants. This specific model is relevant to a 6 MW decentralized cogenerated plant based on straw gasification. The results show that the economic feasibility of combined heat and power production to a high degree is dependent on the subsidies to electricity production. The economic results are very sensitive to changes in energy prices. The energy prices used in the model are heavily influenced by taxes and subsidies, which add to the uncertainty of the general assumptions. Tax and subsidy regulations can also change the economic competitiveness between different energy producing technologies such as biogass, windpower and straw gasification. The adaption to the triple tarif requires extra investments and complicates the operation of the plant, and will only be done if it is economically feasible. The analysis shows that in the benchmark example the heat price has the greatest influence on the economic result followed by the price of straw. (TK).
Citation Formats
Parsby, M, and Gylling, M.
An economic simulation model used on straw gasification; En oekonomisk simuleringsmodel anvendt paa forgasning af halm.
Denmark: N. p.,
1991.
Web.
Parsby, M, & Gylling, M.
An economic simulation model used on straw gasification; En oekonomisk simuleringsmodel anvendt paa forgasning af halm.
Denmark.
Parsby, M, and Gylling, M.
1991.
"An economic simulation model used on straw gasification; En oekonomisk simuleringsmodel anvendt paa forgasning af halm."
Denmark.
@misc{etde_10133551,
title = {An economic simulation model used on straw gasification; En oekonomisk simuleringsmodel anvendt paa forgasning af halm}
author = {Parsby, M, and Gylling, M}
abstractNote = {The report describes a model for a computerized simulation programme developed for economic assessment of smaller combined heat and power plants. This specific model is relevant to a 6 MW decentralized cogenerated plant based on straw gasification. The results show that the economic feasibility of combined heat and power production to a high degree is dependent on the subsidies to electricity production. The economic results are very sensitive to changes in energy prices. The energy prices used in the model are heavily influenced by taxes and subsidies, which add to the uncertainty of the general assumptions. Tax and subsidy regulations can also change the economic competitiveness between different energy producing technologies such as biogass, windpower and straw gasification. The adaption to the triple tarif requires extra investments and complicates the operation of the plant, and will only be done if it is economically feasible. The analysis shows that in the benchmark example the heat price has the greatest influence on the economic result followed by the price of straw. (TK).}
place = {Denmark}
year = {1991}
month = {Dec}
}
title = {An economic simulation model used on straw gasification; En oekonomisk simuleringsmodel anvendt paa forgasning af halm}
author = {Parsby, M, and Gylling, M}
abstractNote = {The report describes a model for a computerized simulation programme developed for economic assessment of smaller combined heat and power plants. This specific model is relevant to a 6 MW decentralized cogenerated plant based on straw gasification. The results show that the economic feasibility of combined heat and power production to a high degree is dependent on the subsidies to electricity production. The economic results are very sensitive to changes in energy prices. The energy prices used in the model are heavily influenced by taxes and subsidies, which add to the uncertainty of the general assumptions. Tax and subsidy regulations can also change the economic competitiveness between different energy producing technologies such as biogass, windpower and straw gasification. The adaption to the triple tarif requires extra investments and complicates the operation of the plant, and will only be done if it is economically feasible. The analysis shows that in the benchmark example the heat price has the greatest influence on the economic result followed by the price of straw. (TK).}
place = {Denmark}
year = {1991}
month = {Dec}
}