Empirical techniques for characterizing electrical energy use now play a key role in reducing electricity consumption, particularly miscellaneous electrical loads, in buildings. Identifying device operating modes (mode extraction) creates a better understanding of both device and system behaviors. Using clustering to extract operating modes from electrical load data can provide valuable insights into device behavior and identify opportunities for energy savings. We present a fast and effective heuristic clustering method to identify and extract operating modes in electrical load data.
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The energy efficiency community has worked hard to engage lenders and consumers in what is estimated by the Rockefeller Foundation and Deutsche Bank to be a $279 billion market for energy efficiency investment. Great advances have been made in the federal and public sector’s program development arena, yet private sector transaction volume remains frustratingly low. In an effort to understand nuanced obstacles to market participation, ACEEE and Energi Insurance Services convened a group of small to mid-size lenders to discuss opportunities for increasing both lender and consumer participation in the energy efficiency space. Lender representation spanned state and local commercial banks, community banks, community development financial institutions (CDFIs), credit unions, and “green” lenders. This paper presents the obstacles identified in the convening and offers recommendations to the energy efficiency community to foster growth in the market for energy efficiency financing.
Small commercial buildings – those smaller than 50,000 square feet – offer substantial and immediate energy efficiency opportunities and cost savings. The Small Buildings and Small Portfolios (SBSP) sector contains 95 percent of all commercial buildings by number and represents 47 percent of the energy consumption in all non-mall commercial buildings. However this building stock has received little attention in the growing energy efficiency marketplace compared to larger and institutionally owned counterparts, in part because of the market’s vast scale, physical diversity, and the disparate interests of its stakeholders.
While acknowledging these challenges, this study estimates that profitable investments in energy conservation can generate $30 billion in annual energy cost savings, improving the financial performance of millions of small businesses throughout the United States.
The General Service Administration's (GSA) Green Proving Ground (GPG) program worked with a team from the National Renewable Energy Laboratory (NREL) to identify buildings with office setups and equipment distributions typical of the wider GSA building stock. Eight buildings from GSA’s Mid-Atlantic Region, where plug loads average 21%, were selected. In each building, approximately 12 standard power strips with no control capability (the incumbent technology) were replaced with APSs, which monitored and provided power to an array of devices. More than 295 devices were monitored during the study, which consisted of three separate test periods, each four weeks in length. All buildings selected had workstation power management in place.