A guide to Financing Tools for the Commercial Real Estate Sector written by the MIT Community Innovators Lab and the Institute for Market Transformation.
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This report summarizes an evaluation of LED recessed downlight luminaires in the guest rooms at the Hilton Columbus Downtown hotel in Columbus, OH. The facility opened in October of 2012, and the U.S. Department of Energy (DOE) conducted a post-occupancy assessment of the facility in January–March of 2014. Each of the 484 guest rooms uses seven 15 W LED downlights: four downlights in the entry and bedroom and three downlights in the bathroom. The 48 suites use the seven 15 W LED downlights and additional fixtures depending on the space requirements, so that in total the facility has more than 3,700 LED downlights. The downlights are controlled through wall-mounted switches and dimmers. A ceiling-mounted wireless vacancy sensor ensures that the bathroom luminaires are turned off when the room is not occupied.
A recast of a presentation done for the Fairfax Chapter of Association of Energy Engineers in November of 2013. Presentation focuses on the the Advanced Energy Design Guides published by ASHRAE with association of AIA, USGBC, and IES with funding and technical support from DOE, NREL, and PNNL. In addition, the DOE Advanced Retrofit Guides are also discussed. Both sets of guides are available for download from this resource database.
A series of archived presentations from webinars sponsored by the U.S. Department of Energy Technical Assistance Program (TAP). opics include: strategic energy planning, policies and programs, data management and evaluation, financing solutions, and energy technologies. To find revolving loan fund webinars, use the search feature on the top right of the table.
This document provides facility managers and building owners with an introduction to measurement and verification (M&V) methods to estimate energy and cost savings of rooftop units replacement or retrofit projects. The M&V methods presented here are helpful in estimating paybacks to justify future projects.
The lack of empirical data on the energy performance of buildings is a key barrier to accelerating the energy efficiency retrofit market. The DOE’s Buildings Performance Database (BPD) helps address this gap by allowing users to perform exploratory analyses on an anonymous dataset of hundreds of thousands of commercial and residential buildings. These analyses enable market actors to assess energy efficiency opportunities, forecast project performance, and quantify performance risk using empirical building data. In this paper, we describe the process of collecting and preparing data for the database, and present a peer-group analysis tool that allows users to analyze building performance for narrowly defined subsets of the database, or peer groups. We use this tool to explore a case study of a multifamily portfolio owner comparing his buildings’ performance to the peer group of multifamily buildings in the local metro area. We also present a performance comparison tool that uses statistical methods to estimate the expected change in energy performance due to changes in building-component technologies. We demonstrate a low-effort retrofit analysis, providing a probabilistic estimate of energy savings for a sample building retrofit. The key advantages of this approach compared to conventional engineering models are that it provides probabilistic risk analysis based on actual
measured data and can significantly reduce transaction costs for predicting savings across a portfolio.
The BEDES Strategic Working Group Recommendations document is a guide to how the BEDES Dictionary can be brought to market and provide the services for which it was designed.
The U.S. Department of Energy created the Building Energy Data Exchange Specification (BEDES) to facilitate the exchange of information on building characteristics and energy use in an inexpensive and unambiguous manner.
The BEDES Dictionary 1.0 was developed by DOE to support the analysis of the performance of buildings by providing a common set of terms and definitions for building
characteristics, efficiency measures, and energy use.
While the availability of “big data” about building energy performance is increasing in response to market demands and public policies, the lack of standard data formats is a significant ongoing barrier to its full utilization. To overcome this barrier, the U.S. Department of Energy (DOE) and Lawrence Berkeley National Laboratory (LBNL) developed the Building Energy Data Exchange Specification (BEDES).
BEDES is designed to enable the exchange, comparison, and combination of empirical information by providing common terms and definitions for data about commercial and residential building’s physical and operational characteristics, energy use, and efficiency measures.
This paper describes the BEDES development process, scope, structure, and plans for implementation and ongoing updates.
There are over 200 energy efficiency loan programs—across 49 U.S. states—administered by utilities, state/local government agencies, or private lenders. This distributed model has led to significant variation in program design and implementation practices including how data is collected and used.
The objective of this report is to take a foundational step towards the establishment of common data collection practices for energy efficiency lending. We review existing practices for data collection for energy efficiency financing programs and, based on discussions with various stakeholders, identify high-priority needs, characterize potential uses for finance program data, and identify use cases that describe how stakeholders use data for key objectives and actions. We address the following topics:
• Rationales for collecting more consistent data from energy efficiency finance programs;
• Identification and discussion of energy efficiency finance program use cases;
• Challenges with collecting information from customers that participate in finance programs; and
• Issues with data collection and aggregation across multiple finance programs.
This guide covers each major step in procuring a solar photovoltaic (PV) system:
- Conducting technical and financial studies
- Financing a PV system
- Project execution
- Operations and maintenance
- Assessing benefits
The guide provides information on the basic steps, key considerations, and where to go for more information. It is intended to provide an overview and some level of detail, with pointers to highly detailed information and resources.