Learn about Water Resource Recovery Facilities (WRRFs) in New York State that are realizing the benefits of implementing SEM in their facilities.
The Erie County Division of Sewerage Management (DSM) has always valued efficiency. Established in the 1960s, the DSM’s mission is to provide cost-effective, customer-oriented wastewater service that protects public health and enhances the natural environment. This is accomplished through the operation and maintenance of six wastewater treatment facilities, just under 100 pumping stations, five overflow retention facilities, and over 1,000 miles of gravity sewer pipe and force mains.
The largest of the DSM’s wastewater treatment plants is the Southtown’s Advanced Wastewater Treatment Facility. Electricity accounts for 9% of total expenditures at the Southtown treatment plant, and is similarly high at the DSM’s other wastewater facilities.
So, in 2018, when the DSM was invited to join NYSERDA’s Strategic Energy Management (SEM) program, they saw it as a natural fit with their mission.
Maintaining safety, quality, and timeliness are top priorities for Potters. By incorporating SEM into its business operations, Potters reduced energy use, improved its profit margin, and empowered an energy-conscious workforce—all while upholding their stringent industry standards.
After investing in numerous energy improvements across their facilities, Garlock decided to take their energy efficiency to the next level by adopting a SEM plan. By syncing new energy project opportunities with their business goals, Garlock can tackle energy improvements in a more strategic way, without seeing any decrease in production or quality of their product.
Camso is always looking for new ways to stay up-to-date on cutting-edge industry best practices—energy use included. By adopting SEM processes, Camso has been able to better understand and control their energy use across their facilities. This has yielded direct cost savings and boosted employee interest in saving energy across the entire company.
Over the last five years, New Buildings Institute (NBI) and partners EcoEdge, Maalka, National Institute of Building Science, and Integral Group have worked with mid-sized cities across the country to develop and deploy a replicable process to help cities connect the dots between goals and day-to-day operations in a cost-effective and impactful manner.
This document aims to help public building portfolio holders understand the benefits of the Public Buildings Portfolio Management process and outline the approach and key lessons learned for those ready to start their own program. The process is applicable to any city, county, regional government, state agency, or school district interested in saving on operating costs, reducing emissions, and leading by example in their community.
This is a comprehensive list of all the assessment questions a user may encounter when completing an assessment within the Energy Management Assessment (EMA) Tool. The EMA Tool provides a strategic and confidential analysis of an organization’s current energy management business practices. The assessment consists of a series of binary questions related to 12 different components of energy management. Within each component, questions are organized in levels. Answering “Needs Improvement” sets the level of development for that component and moves the user on to questions in the next component. This full question set may be a helpful reference or offline backup for Facilitators working with customers to complete assessments within the EMA Tool.
After reviewing SEM measurement and verification (M&V) protocols from different programs, the NW SEM Collaborative's Energy Tracking and Savings Protocols (ETSP) team identified multicollinearity as a common statistical issue in industrial data sets in October 2013. Understanding that multicollinearity has the potential to affect the specification of regression-based energy models used to determine adjusted baselines, more consistent treatment of this issue may help improve confidence in SEM-based savings, and thereby address a potential market barrier. Therefore, the team compiled this paper for the purposes of outlining the implications of multicollinearity in the context of SEM measurement and verification, and providing examples of how program implementers have successfully identified and treated the presence of multicollinearity among a set of predictor variables.
After reviewing SEM measurement and verification (M&V) protocols from different programs, the NW SEM Collaborative's Energy Tracking and Savings Protocols (ETSP) team identified autocorrelation as a common statistical issue in industrial data sets in October 2013. Understanding that autocorrelation has the potential to negatively affect the predictive capability of regression-based energy models used to create adjusted energy baselines, more consistent treatment of this issue may help improve confidence in SEM-based savings, and thereby address a potential market barrier. The ETSP team compiled this paper for the purposes of outlining the implications of autocorrelation in the context of SEM measurement and verification, and providing examples of how program implementers have successfully identified and treated the presence of autocorrelation in regression-based energy models.
The M&V Workgroup created this Selection Guide in June 2019 to discuss some of the modeling alternatives to traditional multivariate linear regression forecast models. A method selection decision tree provides guidance to determine the appropriate M&V method under common circumstances. Detail on the application, merits, demerits, and special considerations for each of seven methods is then provided. The appendices include references, standard metrics for model fitness (statistical verification), and discussion of some common analytical choices.
The US EPA’s ENERGY STAR® Guidelines for Energy Management provide a proven strategy for creating an energy management program focused on continuous improvement of energy performance. This document provides additional information and guidance to make Energy Management a success at an organization. These guidelines are also featured as a resource within the U.S. Department of Energy’s 50001 Ready Navigator tool. The guidelines can be used to gather preliminary information on an energy management system and framework, to better understand Energy Management, and/or to review an energy management program. Primary audiences for this resource include: executives, energy champions, energy teams, sustainability coordinators and executive sponsors.
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