天然气在城市供暖中的应用

阐述了燃气锅炉、燃气热电联产和燃气热泵等天然气供暖应用方式、技术特点及目前发展情况，进而以一次能源消耗率和经济性为指标，分析比较了这些形式的优缺点和应用场合。     

家用天然气燃料电池在暖通空调中的应用

介绍了家用天然气燃料电池的概念和基本原理,其最大优点在于高效率和环保性,其能源综合效率达到80%。计算显示,与火力发电比较,一次能源的消费量削减21%,温室气体CO2排放量削减27%,大气污染物质NOx排放量削减66%。分析了家用燃料电池实用化过程中面临的成本、效率、耐久性等问题,提出了发展我国家用燃料电池的构想。     

Estimation of bias with the single‐zone assumption in measurement of residential air exchange using the perfluorocarbon tracer gas method

Residential air exchange rates (AERs) are vital in understanding the temporal and spatial drivers of indoor air quality (IAQ). Several methods to quantify AERs have been used in IAQ research, often with the assumption that the home is a single, well‐mixed air zone. Since 2005, Health Canada has conducted IAQ studies across Canada in which AERs were measured using the perfluorocarbon tracer (PFT) gas method. Emitters and detectors of a single PFT gas were placed on the main floor to estimate a single‐zone AER (AER_1z). In three of these studies, a second set of emitters and detectors were deployed in the basement or second floor in approximately 10% of homes for a two‐zone AER estimate (AER_2z). In total, 287 daily pairs of AER_2z and AER_1z estimates were made from 35 homes across three cities. In 87% of the cases, AER_2z was higher than AER_1z. Overall, the AER_1z estimates underestimated AER_2z by approximately 16% (IQR: 5–32%). This underestimate occurred in all cities and seasons and varied in magnitude seasonally, between homes, and daily, indicating that when measuring residential air exchange using a single PFT gas, the assumption of a single well‐mixed air zone very likely results in an under prediction of the AER.     

Prediction performance of natural gas dehydration units for water removal efficiency using a least-square support vector machine

Natural gas dehydration unit is employed to eliminate water from natural gas liquids and natural gas, and it is needed to avoid condensation of free water and creation of hydrates in transportation and processing facilities, prevent corrosion, and meet a water content condition. In this paper, a least-square support vector machine (LSSVM) coupled with genetic algorithm (GA) was employed to estimate the water dew point of a natural gas stream in equilibrium with a triethylene glycol (TEG) solution at different TEG concentrations and temperatures. Results showed that GA–LSSVM accomplishes more reliable outputs compared with real recorded data in terms of statistical criteria.     

Toward a less natural gas dependent energy mix in Spain: Crowding-out effects of shifting to biomass power generation

This paper estimates the impact of a hypothetical change in Spain's energy mix on a number of productive sectors. The change would be brought about by substituting power generation from natural gas with generation from biomass. The total amount of electricity supplied has been calculated to remain constant so that a crowding-out effect would be derived from the displacement of one technology with another. An input–output (IO) framework has been used to estimate the overall economic impact on 26 productive sectors included on Spain's 2007 IO Table. Based on the available literature, the consideration of net impact improves the analysis. The results show that the overall net impact across all productive sectors of this change in the energy mix would be positive and equal to about 0.5% for the period. Higher impacts were measured for the ‘Electricity power and Electricity Supply’ sector (15.4%) followed by the ‘Agriculture, Hunting, Forestry’ sector (7.1%). Only the ‘Gas generation and Gas supply’ sector showed a negative impact (–2.5%), which is consistent with the reduced use of natural gas. The overall calculated total impact for Spain's productive sector was equal to € 8074.95 million at the 2007-equivalent value.