报告从新能源相关定义、产业热点、产业研究、新能源相关数据等几个方面进行了分析评论。

本报告从能源行业事件分析；竞争环境、竞争对手、行业数据等几个方面进行了分析评论。

本刊以七大战略性新兴产业——高端装备制造、节能环保、新能源、新材料、新能源汽车、生物、新一代信息技术为研究重点，关注国家高层和各部委的动态，剖析国家和地方的新兴产业政策。本刊设有政策导读、领导讲话、七大战略性新兴产业本周国内外行业动态和重点企业新闻、投资专题四大板块，能够实时监测新兴产业和重点企业动态，把握新兴产业发展方向，研究发展重点，寻求发展机遇。

作为煤炭第一生产和消费大国，我国迫切需要找到一种效率高、清洁、成本可以接受的煤炭使用方式。经过多年探索和借助国内外经验，我们认为应大力推进煤制天然气（下称煤制气）的有序发展。在我国能源结构中，煤炭的生产和消费一直占主导地位。加快发展煤制气等煤炭清洁利用方式，既是高效清洁利用煤炭资源、调整能源产业结构、推动能源产业可持续发展的紧迫任务，也是改善国内能源供给、落实大气污染防治行动计划、培育新的经济增长点、促进能源大转型的战略举措。

报告从行业环境、太阳能、风能、生物质能、新能源汽车等几个方面进行了分析及评论。

报告从主要发电企业集团动态、电力产业环境、国内电网动态、电力设备行业信息、港台电力行业信息、国际动态等几个方面进行了分析评论。

本刊以七大战略性新兴产业——高端装备制造、节能环保、新能源、新材料、新能源汽车、生物、新一代信息技术为研究重点，关注国家高层和各部委的动态，剖析国家和地方的新兴产业政策。本刊设有政策导读、领导讲话、七大战略性新兴产业本周国内外行业动态和重点企业新闻、投资专题四大板块，能够实时监测新兴产业和重点企业动态，把握新兴产业发展方向，研究发展重点，寻求发展机遇。

Russia accounted for a quarter of global gas production with its 668mn cu m of gas in 2013. Thus, the country ranked among the top gas producers in the world along the Unites States and Qatar. The Russian economy is highly dependent on natural gas and its share in energy consumption in the country exceeds the average in the western countries.

Oil and gas security refers to the technological solutions implemented to secure oil and gas infrastructure such as pipelines, refineries, and storage facilities from attacks from terrorists and cyber attackers. Oil and gas products play an important role in a nation's security, and hence the security of oil and gas products is always important.

Today's utility planners have a different market and economic context than their predecessors, including planning for the growth of renewable energy. State and federal support policies, solar photovoltaic (PV) price declines, and the introduction of new business models for solar PV ownership are leading to increasing interest in solar technologies (especially PV); however, solar introduces myriad new variables into the utility resource planning decision. Most, but not all, utility planners have less experience analyzing solar than conventional generation as part of capacity planning, portfolio evaluation, and resource procurement decisions. To begin to build this knowledge, utility staff expressed interest in one effort: utility exchanges regarding data, methods, challenges, and solutions for incorporating solar in the planning process. Through interviews and a questionnaire, this report aims to begin this exchange of information and capture utility-provided information about: (1) how various utilities approach long-range resource planning; (2) methods and tools utilities use to conduct resource planning; and, (3) how solar technologies are considered in the resource planning process. The National Renewable Energy Laboratory (NREL) and the Solar Electric Power Association (SEPA) worked together to engage utilities directly to research this topic and author this report. An advisory council of electric industry experts guided the methodology used and provided feedback on draft analysis. The main sources of information captured in this report were predominantly from utilities. The authors conducted interviews with electric sector representatives from 13 entities (9 of which were utilities) and developed a utility questionnaire that secured more specific modeling data sources and methodologies from 28 utilities in 22 states.

Although the measurement of this performance metric might appear to be straightforward, there are a number of subtleties associated with variations in weather and imperfect data collection that complicate the determination and data analysis. A performance assessment is most valuable when it is completed with a very low uncertainty and when the subtleties are systematically addressed, yet currently no standard exists to guide this process. This report summarizes a draft methodology for an Energy Performance Evaluation Method, the philosophy behind the draft method, and the lessons that were learned by implementing the method. The general philosophy behind the methodology includes the following features: The method is performance-model agnostic. The performance model must not be inadvertently modified, when being implemented on the measured meteorological data sets, relative to the model that was used on the historical data set. The parties to the test must intentionally define the test boundary differentiating what is being tested from what is not being tested. When correctly implemented, the test result should be independent of the weather and other parameters found outside of the test boundary.