Gilmore Elisabeth A, Lave Lester B, Adams Peter J
Engineering and Public Policy, Chemical Engineering, Civil Engineering and Tepper Business School, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.
Environ Sci Technol. 2006 Nov 15;40(22):6887-93. doi: 10.1021/es061151q.
Existing generators installed for backup during blackouts could be operated during periods of peak electricity demand, increasing grid reliability and supporting electricity delivery. Many generators, however, have non-negligible air emissions and may potentially damage air quality and harm human health. To evaluate using these generators, we compare the levelized private and social (health) costs of diesel internal combustion engines (ICE) with and without diesel particulate filters (DPF), natural gas ICEs, and microturbines to a new peaking plant in New York, NY. To estimate the social cost, first we calculate the upper range emissions for each generator option from producing 36,000 megawatt-hours (MWh) of electricity over 3 days. We then convert the emissions into ambient concentrations with a 3-D chemical transport model, PMCAMx, and Gaussian dispersion plumes. Using a Monte Carlo approach to incorporate the uncertainties, we calculate the health endpoints using concentration-response functions and multiply the response by its economic value. While uncontrolled diesel ICEs would harm air quality and health, a generator with a DPF has a social cost, comparable to natural gas options. We conclude on a full cost basis that backup generators, including controlled diesel ICEs, are a cost-effective method of meeting peak demand.
为应对停电而安装的现有发电机可在用电高峰期运行,提高电网可靠性并保障电力供应。然而,许多发电机的废气排放不容忽视,可能会损害空气质量并危害人类健康。为评估这些发电机的使用情况,我们将配备和未配备柴油颗粒过滤器(DPF)的柴油内燃机(ICE)、天然气内燃机以及微型涡轮机的平准化私人成本和社会(健康)成本,与纽约市一座新建的调峰电厂进行了比较。为估算社会成本,首先我们计算了每种发电机选项在3天内生产36000兆瓦时(MWh)电力时的最高排放量。然后,我们使用三维化学传输模型PMCAMx和高斯扩散羽流将这些排放量转换为环境浓度。通过蒙特卡洛方法纳入不确定性因素,我们利用浓度响应函数计算健康终点,并将响应结果乘以其经济价值。虽然未加控制的柴油内燃机将损害空气质量和健康,但配备DPF的发电机的社会成本与天然气选项相当。我们基于全成本得出结论,包括经过控制的柴油内燃机在内的备用发电机是满足高峰需求的一种经济有效的方法。