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SIDEBAR 1. RENEWABLE ENERGY DATA: CURRENT STATUS AND CHALLENGES OF CAPACITY AND PRODUCTION DATA Reliable, accessible, and timely data on renewable energy are essential for establishing energy plans, defining baselines for targets, monitoring progress and effectiveness of policy measures, and attracting investment. Global data collection on renewables has improved significantly in recent years with more-comprehensive and timelier record keeping, increased accessibility, and better communication among stakeholders. Significant gains have been made over the past decade as governments, industries, and other entities have improved data collection methods. However, there are still large data gaps, particularly in the decentralised applications of renewable energy. The task also grows in complexity as the use of renewable energy increases in scale and expands geographically, making data more difficult to track. A number of challenges remain. In many countries, renewable energy data are not collected systematically and, where data do exist, they vary widely in quality and completeness. Timing of data releases varies considerably, and reporting periods differ. The time lag between developments and availability of data (in many instances two years or longer) can be a barrier to informed decision making, given the rapidly evolving renewable energy landscape. Some challenges are technology or sector specific, due to the decentralised nature of installations and industry structure. For example, most traditional biomass is used for heating and cooking in more than a billion dwellings worldwide, and estimates of total quantities are uncertain. Modern biomass technologies have varying rates of fuel-to-energy conversion, and the wide range of feedstocks, sources, and conversion pathways makes uniform data collection difficult. Even the energy from traded biomass is difficult to track because the traded feedstock can have both energy and non-energy uses. Renewable heating (and cooling) data, in general, present a challenge because of the relatively large number and variety of technologies involved (e.g., feedstocks, energy conversion technologies, distribution) and the distributed nature of the sector. In some countries, there is a misconception that the use of renewable heating (such as solar thermal collectors for water heating) is an energy efficiency measure, and thus developments are not recorded with other renewable energy data. Capacity and output data on distributed heat, off-grid electricity, and other decentralised applications frequently go uncollected or are otherwise fragmented. Energy output data are challenging to estimate accurately for a variety of reasons, including variability in local resource and system conditions. Where renewables are part of hybrid facilities (such as biomass co-firing, CSP-fossil fuel hybrids), output is often not broken down by source, resulting in over- or underestimation of the renewable component. In addition, declining efficiencies of existing stock and retirement and replacement of ageing capacity need to be accounted for, but these are seldom reported and therefore are often subject to estimation. Many national and international entities do not report data sources and assumptions underlying their statistics. Some data are aggregated under the “other” category, which may or may not include non-renewable products. Other datasets are not publicly available. Methodologies and assumptions (including what is counted and how) can differ markedly among sources, creating inconsistencies and uncertainty about data robustness. Formal (government) data may command some premium in the hierarchy of data, but informal data are also critical for establishing a more comprehensive view of the global renewable energy sector. The challenge is to effectively bring together data from various institutional and individual sources in a consistent, systematic, and transparent context. Several national, regional, and international initiatives have been formed to overcome gaps and improve the quality of renewable energy data, in part by systematically relying on a broader array of both formal and informal sources. These include the Global Tracking Framework under SE4ALL, projects under way at IRENA, regional initiatives in western Africa and the MENA region, and ongoing work by REN21 with global and regional status reports. The collection and processing of renewable energy statistical information can be seen as burdensome; however, inconsistent data collection efforts hamper governments’ capacity to make informed decisions. Experts agree that systematic and enhanced reporting is critical for increasing financing, establishing policy priorities, and improving energy planning over time. Source: See Endnote 6 for this section. 01 23

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