1. Introduction
In 2022, U.S. energy consumption peaked at 105 EJ, resulting in a substantial 4.7 gigatonnes of CO
2 greenhouse gas emissions [
1]. In light of the climate change caused by these emissions, the U.S. Department of Energy [
2] anticipates the necessity for advanced technologies to facilitate a transition to clean energy by 2050, given projected increases in both population and business activities. The importance of reducing these emissions has also reignited interest in energy efficiency [
3] in that, alongside advanced technologies, enhanced energy efficiency will also be required to achieve emissions targets.
The building sector consumes nearly 30% of energy in the U.S. [
4]. Buildings are major contributors to energy consumption and greenhouse gas emissions, making their energy efficiency a vital aspect of any sustainability initiative [
5]. In response to the energy and climate crises, Maryland State Governor Wes Moore signed an executive order requiring state-owned facilities to reduce their energy consumption by 20% by 2031 [
6]. Furthermore, the Building Energy Performance Standards (BEPS) required by the Maryland Climate Solutions Now Act of 2022 mandate that buildings in Maryland that are 35,000 square feet (~3252 m
2) or larger achieve a 20% reduction in net direct GHG emissions, as compared with 2025 levels, by 1 January 2030 and subsequently net-zero direct GHG emissions by 1 January 2040 [
7].
To this end, energy audits and energy-efficient practices have become imperative [
8]. In one study [
9], the effect of a city-wide mandatory audit policy—New York City’s Local Law 87—on building energy use for approximately 4000 buildings was examined using energy data from 2011 to 2016. The results showed that mandatory energy audits negatively impacted energy consumption in office and residential buildings in NYC. It reinstated the idea that energy audits provide only limited incentives to facility owners and building managers to invest in enhancing their energy efficiency owing to barriers such as limited capital access, subjective savings projections, and skeptical pricing in energy markets. Energy audits provide a systematic assessment of a building’s energy use and a set of recommendations for enhancing the building’s energy efficiency [
10]. By demonstrating a case study and associated savings, [
11] emphasized the importance of comprehensive energy audits. A 77,000 ft
2 (7154 m
2) office building in upstate New York was audited to gauge potential savings through energy audits. It was found that the facility could potentially save 37% annually, or USD 125,000, upon implementation of the energy efficiency measures. Furthermore, without significantly altering the building design, implementing energy efficiency measures (EEMs) can reduce energy use by 20–30% on average [
12]. Twelve building types were assessed over four years, primarily focusing on installing smaller, cheaper HVAC equipment. It was found that most HVAC systems were oversized, and appropriate sizing could reduce a building’s carbon footprint by 16% on average. Energy audits on maintenance buildings are particularly beneficial, as these structures play a crucial role in various industries and critical housing operations that demand optimal energy use for sustainability, cost reduction, and environmental responsibility [
9]. These structures house essential equipment, materials, and personnel vital to the efficient functioning and upkeep of operations. Maintenance facilities employ and store heavy-duty equipment, including hoists, cranes, presses, lathes, TIG welding, washers, and milling equipment [
13]. To this effect, energy modeling has been a popular tool to emulate a facility’s energy performance and calculate savings by implementing energy efficiency measures [
14,
15,
16]. The physics-informed model (PIM) approach is the preferred choice for analyzing the energy demand of individual buildings based on installed equipment and technologies in the facility [
17]. The PIM approach allows assessment of the impact of energy efficiency upgrades on overall building energy consumption. In [
18], an energy model for a commercial building was developed to study the electricity savings from a water-to-water heat pump in a commercial building. It was observed that the savings ranged from 20 to 27% on a monthly basis. Regular energy audits can identify energy waste, recommend tailored efficiency measures, and promote sustainable energy usage practices, thereby reducing operational costs and promoting a sustainable future. However, because maintenance facilities vary in operation, the literature on them is limited. This study addresses this gap in knowledge by delving into the importance of energy audits and energy efficiency in maintenance buildings, emphasizing the necessity of this practice for economic and environmental benefits.
While analyzing high-speed railways, [
19] assessed the pantograph-catenary system as the most vulnerable part of the traction power system. In [
20], different approaches were studied to improve pantograph–catenary performance at a speed of 400 km/h and above. Seven different perspectives were reviewed for future studies to improve the performance of pantograph–catenary systems. In [
21], an experimental test of the pantograph–catenary system was conducted at different speeds. They developed a neural network optimization algorithm to find optimal contact performance at different velocities. The optimization algorithm improved the contact quality of the pantograph–catenary system at 380 km/h. With different countries pushing towards carbon reduction, high-speed trains have become a focus of electricity consumption reduction. To this effect, maglev trains would rely on renewable electricity. In [
22], a novel superconducting magnetic energy storage (SMES) system in conjunction with distributed renewable energy sources was explored. Using distributed renewable energy sources, clean electricity can be provided to power these trains without heavily relying on the grid, while the SMES system actively responds to the power demand of maglev trains during acceleration and braking conditions by rapidly releasing and absorbing energy. The Maryland Transit Administration (MTA) handles the operation and maintenance of multiple mass transportation methods for the State of Maryland. As part of a larger project, we prioritized the MTA’s maintenance facilities for auditing using the ranking software developed in [
23], which ranks facilities based on different energy metrics, such as EUI, total GHG emissions, and energy-saving potential. We modeled the energy consumption of buildings that were heavy energy consumers to identify the deficiencies contributing to subpar energy performance [
24].
This paper focuses on a light rail maintenance facility audited as part of that project. This facility has an area of 107,000 ft2 (~9941 m2); is located in Baltimore, Maryland; and was constructed in 1991. The facility showed a consistently high energy use intensity (EUI) for five consecutive years, with an average of ~410 kWh/m2. The following four-step procedure evaluated the facility’s energy consumption and performance. First, the building’s performance was analyzed using energy benchmarks and existing utility bills. Once the bills were analyzed, a walkthrough was conducted to identify the deficiencies in the building and ways its performance could be optimized for improved energy efficiency. Step three involved modeling the building’s energy consumption to simulate the baseline energy performance of the facility. The model was based on the building’s original as-built drawings, utility bills, building plug loads, and occupancy schedules. Once the baseline was created and validated, a list of proposed energy efficiency measures (EEMs) was simulated in the energy model. The final step involved documenting the savings in energy, operating costs, and GHG reduction potential that could be achieved by implementing the EEMs. The results show that energy audits of maintenance facilities can produce significant savings. The ramifications of using a four-step approach similar to the one proposed above include the development of a handbook/reference for other facilities that have similar attributes.
4. Results and Discussion
The energy model aims to determine the potential financial savings that could be generated by implementing the recommended EEMs in the maintenance facility. The case studies show that the EEMs can produce substantial energy savings under different scenarios. The results discussed below show the effect that each EEM would have on the overall energy usage of the building and provide explanations and justification for the simulated values.
The proposed EEMs from
Section 3 emphasize the implementation of retrofitting existing equipment in the facility with energy-efficient alternatives. Energy-efficient retrofits often have advanced technologies and features that can enhance performance and functionality. In [
61], the authors used a multi-criteria decision analysis including location, climate, and operational and embodied energy, but not limited to architectural constraints, control, and management from a life cycle analysis perspective. They found that retrofitting the building envelope, lighting fixtures, and HVAC equipment can be an effective energy efficiency solution. Building energy retrofits provide substantial opportunities to reduce the level of building energy consumption, thereby saving money, improving comfort levels, and reducing greenhouse gas emissions [
62]. Furthermore, implementing energy efficiency retrofits also results in upgraded functionality, improved structural and architectural quality, reduced energy consumption, decreased CO
2 emissions, and improved indoor air quality [
63]. However, the above studies also acknowledge that cost–benefit analyses, including payback periods, must be considered to determine the efficacy of retrofit measures.
4.1. LED Lighting Upgrades Savings
The maintenance facility relies on a mixture of light bulbs, including fluorescent, incandescent, high-pressure sodium, and metal halide. Replacing all lighting with LED equivalents was the first EEM suggested for the facility because, as shown in
Table 4, many inefficient lighting fixtures currently illuminate the facility, contributing to high energy consumption. Switching the lighting from the current types was modeled using presets that consider the heat transferred to the surrounding air, efficiency, and other factors. The user defines inputs, including the lighting densities, wattages, and use, based on the area type and schedules. The resulting energy savings predicted by the model were a decrease of 54 MWh/year of electricity and an increase of 54 GJ/year of natural gas.
The reason behind the decrease in electricity values is that LEDs operate at least 75% more efficiently than the currently installed bulbs [
64]. However, they release less heat during operation, which explains the rise in therms/year: the natural gas must provide more heating in the building during the winter months to supplement the lower heat gain from lighting.
4.2. Decarbonization Savings: Resizing HVAC, VFDs, and Electrification
The model allows users to simulate changes in the energy sources of HVAC systems, from electric, gas, and steam to electricity. An example of such a system is depicted in
Figure 6. For the various HVAC systems at the maintenance facility, the natural gas components were converted to electrical equivalents, VFDs were applied to any motors over 5 HP, and the HVAC equipment was resized to match the simulated weather loads better. Additionally, adding VFDs to the configuration with the current components was possible. Finally, another option permits the auto-sizing of HVAC equipment. This auto-sizing feature allows the software to determine the worst-case scenario for heating and cooling based on the geographical zones. Combining these three portions into the decarbonization recommendations could achieve savings of 62 MWh/year of electricity and 5034 GJ/year of natural gas. Additionally, the potential annual savings of USD 49,763 and 272 metric tons of CO
2 could be achieved.
The ramifications of decarbonizing buildings, starting with HVAC systems, are tremendous in achieving net-zero operations for facilities. HVAC systems are the most energy-consuming systems, consuming approximately 50% of the end energy use in the building sector [
65]. Optimizing their use can result in significant savings, both in terms of energy and cost, as well as GHG emissions [
66].
The natural gas usage at the facility was eliminated when the HVAC systems were converted to electrical equivalents. As a result, the electrical usage at the facility will increase. However, adding auto-sizing and VFDs in the same simulation counteracted this increased electricity usage and produced a net decrease in electricity use.
4.3. Solar PV Installation
Solar power is intended to supplement the electricity that would be used from the utility supply. A 50% estimation of the total roof area at the maintenance facility was used to determine the useful roof area for installing solar panels. An azimuth angle of 180° and a tilt angle of 30° were the chosen configurations of the solar PV arrays. With the specifications shown below in
Figure 7, it is shown that 50 total arrays were needed. The simulated solar array is projected to reduce electricity consumption by 980 MWh/year.
This electricity savings accounts for around 33% of the facility’s energy consumption in the base model. The solar panels did not have any energy storage capability in the simulation, so it was assumed that the energy that was produced directly supplemented the energy from utility sources, i.e., the energy generated by the solar array was sold back to the grid to offset the electricity costs. It was also assumed that the arrays followed net metering by selling surplus power generated while applying credit at the retail rate. Installing energy storage equipment could increase the savings potential of the facility by allowing for energy supplementation during fluctuations, such as peak demand [
67].
4.4. Temperature Setbacks
Temperature setbacks at the maintenance facility were recommended for the office area because it operates on a Monday–Friday, 9 a.m. to 5 p.m. schedule. When the office is unoccupied, the temperature is increased or decreased for energy efficiency. The previous temperature setpoint was 75 °F (23.9 °C) year-round for the offices. While that temperature should be maintained when the offices are occupied, the drift point in the winter should be set to 65 °F (18.3 °C) and 85 °F (29.4 °C) in the summer. To implement this new schedule into the software, a new occupancy schedule had to be generated based on the typical 9 a.m. to 5 p.m., Monday–Friday work schedule. In the new schedule, during the winter months, the temperature is set to 75 °F (23.9 °C) when the office area is occupied and drifts to 65 °F (18.3 °C) when unoccupied. Similarly, for the summer, the temperature when occupied is set to 75 °F (23.9 °C), and unoccupied drift is 85 °F (29.4 °C). When building areas are not occupied at all during the day, such as on weekends, the temperature is set to the drift point for the respective season for the full day. When switching from the unoccupied to the occupied temperature set points, the software starts the temperature change an hour before occupants enter the building (8 a.m.) and changes back to the drift temperature an hour after occupants leave (6 p.m.). This new schedule would result in a decrease in electricity use of 6 MWh/year. Temperature setbacks are an important energy-saving measure in the context of energy efficiency, with savings reaching as high as 30% for heating systems and 23% for cooling systems [
68].
4.5. Window Replacement
The maintenance facility features windows in the office area, which is only a fraction of the overall building’s square footage. As there have been no window renovations since the original construction of the maintenance facility, it was assumed that the windows are over 30 years old. Given the windows’ age, they were assumed to be typical single-pane windows for the Zone 4 climate zone. The recommended replacement windows should fit North Central Climate Zone standards with an SHGC ≤ 0.40 and U-factor ≤ 0.25 [
69]. The replacement windows chosen in the model are double-pane tinted windows with an air-filled gap that meets the required SHGC and U-factor values described above. These upgrades to the existing windows would reduce electricity use by 0.5 MWh/year and increase natural gas use by 316 MJ/year. While the savings are not significant, it should also be noted that the facility does not have many windows that could benefit from the savings from window retrofits. Moreover, the uncertainty in the estimations makes it challenging to gauge whether a retrofit would be economically viable or suffer from high payback periods [
70].
Table 7 highlights the energy and cost savings that could be achieved by implementing the EEMs suggested in this study. The utility savings (USD) were calculated using the standard utility rates obtained from the facility’s utility bills. The electricity and natural gas rates were 0.11 USD/kWh and 0.9 USD/MJ, respectively. With the existing prices, it is no surprise that the facility would be averse to all-electric for its operations, owing to the higher energy density of natural gas/dollar invested [
71]. By implementing the combination of EEMs for the facility, it was observed that the EUI decreased from 403.7 to 283.6 kWh/m
2, a reduction of almost 30%. By electrifying the facility, the peak demand did go up owing to all of the facility’s power being supplied by electricity, but the reduced electricity consumption did aid in an improved load factor of 0.41, an improvement of 86%. While the improvements highlighted are significant, it was noted that the facility would need to continue improving its overall performance to adhere to the state’s goals of energy efficiency and decarbonization.
As seen in
Table 7, five different energy efficiency measures (EEMs) were considered for the maintenance facility to improve its energy performance. A final simulation was carried out to investigate the impact of implementing all EEMs simultaneously in the facility and the associated energy savings. It was observed that maximum savings could be achieved with EEMs 2 and 3 by appropriately sizing the equipment and electrifying the existing fossil fuel equipment, along with installing a rooftop solar PV array. While installing the solar PV array can provide significant savings for on-site electricity consumption by virtue of net metering, the GHG reduction in Scope 3 emissions can make for an attractive investment. From
Table 5, it can be observed that most of the HVAC equipment in the facility is oversized, causing massive energy waste and associated utility costs. Appropriately sizing HVAC equipment can lead to a good balance between supply and demand for energy consumption for the facility’s use case. Moreover, electrifying the equipment would reduce Scope 1 and Scope 2 emissions from on-site fossil fuel usage. EEMs 1, 4, and 5 were simulated. While the savings from them were not attractive, a combined retrofit for lighting followed by envelope upgrades and temperature setbacks can further improve the facility’s energy efficiency.
Table 8 shows the reduction in GHG emissions that can be achieved by the EEM implementations. Using the coefficients of CO
2 equivalents from the EPA Power Profiler [
72], the quantity of GHG emissions quantified in metric tons of CO
2 from electricity was calculated. The CO
2 equivalents for natural gas were obtained from the EPA’s Emission Factors Hub [
73].
The highest GHG emission reductions are seen for EEM 2: solar PV installation. However, while analyzing the reductions (energy and GHG emissions) for each utility, the highest reductions for natural gas are observed for EEM 3: equipment sizing and electrification. The maintenance facility uses electricity and natural gas for its operation, with natural gas comprising an annual average of 27% of the total energy consumption and electricity making up the rest. For 2022, the natural gas consumption for the maintenance facility is 3971 GJ, costing USD 33,858, with total GHG emissions of 215 metric tons. Similarly, for 2022, the electricity consumption for the maintenance facility is 2907 MWh, costing USD 241,097, with total GHG emissions of 978 metric tons. Using the rates from [
39], it is evident that in the facility’s quest towards net-zero carbon emissions, the most prudent measure would be to decarbonize the HVAC systems and replace them with their electrified counterparts. With non-compliance penalties for on-site emissions being instituted starting in 2030 [
7], facilities should start prioritizing reducing on-site Scope 1 and 2 emissions to avoid hefty penalties.
5. Conclusions
The built environment significantly impacts GHG emissions due to its high energy consumption. Although newly constructed buildings are increasingly being built as net-zero facilities, most existing buildings were not built with energy efficiency as a high priority, hence the need to find ways to retrofit existing buildings to achieve global decarbonization and sustainability goals.
The present case study focused on a maintenance facility used by the State of Maryland Mass Transportation Agency. This facility was chosen because the energy performance metrics were below the desired standard benchmark values for comparative facilities. Based on a virtual as well as hands-on energy audit, the recommended EEMs included LED lighting upgrades, the installation of solar PVs, appropriate equipment sizing, the installation of VFDs, window upgrades, temperature setbacks, and electrification measures. These recommendations are projected to offer significant energy savings potential, with a net annual reduction of 584 metric tons of CO2, a decrease of 5034 GJ of natural gas consumption, and 1086 MWh of electricity for 2022. The comprehensive energy audit analysis and simulation models were crucial in identifying deficiencies and opportunities to improve the facility’s performance. Furthermore, the energy modeling results show that implementing the energy efficiency measures has an attractive cost-saving potential of USD 162,402 annually.
The results of this case study show that attractive energy savings can be achieved for a commercial maintenance facility despite having extreme operational schedules. The study also highlights the importance of energy use optimization to enhance building energy efficiency and promote sustainable practices. The outcomes of this study not only contribute to cost and energy savings for the building’s occupants but also serve as a blueprint for future energy reduction optimization projects in similar maintenance facilities. The study aims to serve as a guide for measures that can most benefit other similar maintenance facilities.