CO2 mitigation potential and marginal abatement costs in Thai residential and building sectors
CO2 mitigation potential and marginal abatement costs in Thai residential and building sectors
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DOI：
10.1016/j.enbuild.2014.02.050
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发表时间：
2014-09
影响因子：
6.7
通讯作者：
K. Promjiraprawat;P. Winyuchakrit;B. Limmeechokchai;T. Masui;T. Hanaoka;Y. Matsuoka
中科院分区：
文献类型：
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作者：
K. Promjiraprawat;P. Winyuchakrit;B. Limmeechokchai;T. Masui;T. Hanaoka;Y. Matsuoka
在1990-2010年期间，发电部门一直是最高的能源消耗和二氧化碳排放部门，而住宅和建筑部门一直是最大的电力消耗部门，约占泰国总电力消耗的57.1%。本研究采用AIM/Enduse模型探讨长期规划中与边际减排成本（MAC）相关的CO2减排措施。根据目前市场上的数据，通过用更高效的能源设备取代现有的能源设备，实施了七项缓解措施：（1）高效照明设备，（2）高效冷却设备，（3）高效加热设备，（4）高效其他电气设备，（5）高效烹饪设备，（6）隔热房屋，以及（7）建筑法规。结果表明，在2010年至2050年的一切照旧情景下，能源需求和CO2排放量将分别增加到39，140 ktoe-CO2和52，047 kt-CO2。通过采取这些政策战略，到2050年，能源需求可以减少约42.7%的能源需求，而CO2排放量可以减少35.0%的CO2排放量。与其他措施相比，高效的冷却装置将在2050年以较低的MAC实现最大程度的二氧化碳减排。
During 1990–2010, the power generation sector has been the highest energy consuming and CO2emitting sector while the residential and building sectors have been the largest electricity consuming sector, accounted for about 57.1% of overall electricity consumption in Thailand. This study employed AIM/Enduse model to investigate the CO2reduction measures which are related to the marginal abatement cost (MAC) in the long term planning. Seven mitigation measures by replacing existing energy devices with more efficient ones based on the data currently available on the market are implemented: (1) efficient lighting devices, (2) efficient cooling devices, (3) efficient heating devices, (4) efficient other electrical devices, (5) efficient cooking devices, (6) Insulated houses, and (7) building codes. Results indicate that in the business-as-usual (BAU) scenario between 2010 and 2050, the energy demand and CO2emissions would increase to 39,140 ktoe and 52,047 kt-CO2, respectively. By adopting these policy strategies, energy demand can be reduced by about 42.7% of total energy demand in 2050 while CO2emissions can be mitigated by 35.0% of overall CO2emissions in 2050. The efficient cooling devices will contribute to the largest CO2reduction in 2050 with low MAC when compared to other measures.