Potential Savings Research Articles

A single dose of recombinant adenoviral vector rabies vaccine expressing two copies of glycoprotein protects mice from lethal virus challenge.

Rabies is a fatal infectious disease, that poses a major public health threat in developing countries. With an annual death toll of approximately 59,000, more than half of which are children, an urgent need exists for a safe, affordable, and effective preventive measure against rabies virus infection. A recombinant rabies vaccine called Ad5-dRVG was constructed by introducing two copies of the rabies virus glycoprotein into a human adenoviral vector. Virus-neutralizing assays and virus challenge experiments were employed to evaluate the Ad5-dRVG vaccine. Our findings demonstrate that a single dose of Ad5-dRVG, administered either intramuscularly or orally, elicited significantly stronger immune responses than Ad5-RVG. Moreover, both vaccines provided complete protection in mice. Notably, the vaccine exhibited remarkable efficacy even at low doses, suggesting potential cost reduction in production. The development of the Ad5-dRVG recombinant rabies vaccine represents a significant advancement in rabies prevention. Its enhanced immunogenicity, demonstrated efficacy and potential cost savings make it a promising candidate for widespread use.

Research on the energy transition pathways of the transportation sector in the Guangdong–Hong Kong–Macao Greater Bay Area, China

Energy transitions is an effective way to achieve sustainable development in the transportation sector. To explore the pathways to energy transitions in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) transportation sector, the article evaluated the potential of energy savings and CO2 emission reduction of different measures in a quantitative way, based on the long-range energy alternatives planning (LEAP) platform. The marginal abatement cost curves are used to visually reflect the cost–benefit of these measures, and to develop cost-effective pathways to energy transitions. The results show that the measures of transportation modes adjustment and private cars regulating should be prioritized due to the potential of significant emission reduction with good cost-effectiveness. The measures of promoting electricity and hydrogen energy have large emission reduction potential, but only those for road traffic are cost-effective, and should be treated with a lower priority. Considering the high cost, the measures of promoting biofuel should be implemented as least priority. Moreover, the measures of liquefied natural gas (LNG) application have good cost-effectiveness, as opposed to limited CO2 emission reduction potential. It can only be used as a transitional fuel for the energy transitions. The findings and research methodology will provide theoretical support for the formulation of transportation energy transition pathways in the GBA and other regions.

Synergistic effects of multi-segmented magnetic fields, wavy-segmented cooling, and distributed heating on hybrid nanofluid convective flow in tilted porous enclosures

This study investigates the complex thermal-fluid behavior within a tilted porous enclosure filled with a Cu−Al2O3-water hybrid nanofluid, subject to segmented magnetic fields, wavy cooling segments, and distributed heat sources. The research explores the intricate interplay between geometric factors and thermal-magnetic forces to enhance heat transfer in industrial applications. The finite volume method (FVM), coupled with the SIMPLE algorithm and a TDMA solver, is employed to solve the governing transport equations. A comprehensive parametric analysis examines the effects of key dimensionless parameters: Darcy-Rayleigh number (10–104), Darcy number (10-4–10-1), Hartmann number (0–70), magnetic field angle (0°-180°), nanoparticle volume fraction (0–2 %), porosity (0.1–1.0), wavy cooler undulation height (0–0.3), magnetic segment width (0–1), number of segmental magnetic fields (0–4), and enclosure tilting angle (0°–180°). The study elucidates the physical mechanisms underlying the transition from uniform to segmented heating scenarios. Results reveal a remarkable enhancement of up to 38 % in heat transfer performance when transitioning from a conventional square enclosure to the proposed configuration with partial waviness on opposing walls. This improvement stems from increased surface area and disrupted thermal boundary layers, promoting better fluid mixing. The application of a segmented magnetic field with strategic orientation resulted in up to 26 % enhancement by modulating flow patterns and creating localized convection cells. The segmented heating generates thermal plumes that interact with the magnetic field-induced Lorentz forces, further improving thermal transport. The findings provide valuable insights into the design and optimization of efficient heat transfer systems in various industries, including electronics cooling, solar thermal collectors, and nuclear reactors, demonstrating significant potential for energy savings and improved thermal management through the strategic integration of hybrid nanofluids, magnetic fields, and geometric modifications in porous media applications.

The effect of hydropower bidding strategy on the iberian day-ahead electricity market

In 2021, the Iberian Electricity Market, which includes Portugal and Spain, experienced a significant increase in electricity prices. On average, prices tripled compared to pre-pandemic levels in 2019, despite stable demand. This trend, though less pronounced in other European markets, has raised concerns about the efficiency and competitiveness of wholesale electricity markets. This study investigates the bidding behavior of non-pumped hydropower plants in the Iberian market, employing a merit order model based on real data from 2019 to 2021. The analysis reveals a clear mismatch between hydropower bid prices and actual production costs. Although this practice is legal, it conflicts with the European Union's goal of promoting fair competition within the internal electricity market.Our findings suggest that aligning hydropower bid prices with 2019 levels could have reduced annual market costs by approximately 2324 million euros under a moderate scenario. This indicates substantial potential for cost savings and improved integration of hydropower. However, this strategy also benefits companies that own these hydropower plants, as they often possess large portfolios and can capitalize on increased market prices through other plants, particularly renewable energy units, which offer electricity at very low prices and have a high likelihood of being dispatched.Furthermore, the study highlights regulatory gaps allowing hydropower plants to price low-cost energy similarly to thermal plants, raising consumer costs and distorting market dynamics. These findings emphasize the need for stronger regulatory oversight and reforms to prevent excessive price inflation by hydropower, which plays a critical role in renewable energy integration and grid stability. Policymakers must ensure fair pricing while compensating hydropower plants for their flexibility and essential contributions to the energy system.

Greening the cup: Green marketing strategies of Milk Tea Shops in San Jose City, Nueva Ecija

This study investigates the adoption of green marketing strategies by milk tea shops in San Jose City, Nueva Ecija, focusing on their motivations, benefits, strategies employed, and challenges faced. Utilizing a quantitative research design, data were collected through a structured questionnaire from local milk tea shop owners and managers. The findings reveal that the primary motivation for adopting green marketing is to fulfill corporate social responsibilities and gain a competitive advantage. Shops recognize substantial benefits, including increased consumer awareness, enhanced brand reputation, and potential cost savings. Key strategies employed include using biodegradable packaging, promoting reusable items, and implementing portion control measures. Despite these efforts, challenges such as high costs, consumer skepticism, and complex environmental certifications persist. The results indicate a strong commitment to sustainability but also highlight the need for improved consumer education and cost-effective solutions. Recommendations include investing in educational campaigns to enhance consumer understanding of green marketing benefits, exploring affordable, sustainable materials, and developing clear, structured green marketing plans. Addressing these challenges can enhance the effectiveness of green marketing strategies and support long-term sustainability in the milk tea sector.

Comparative life cycle assessment (LCA) of the composite prefabricated ultra-shallow slabs (PUSS) and hollow core slabs in the UK

Life cycle assessment studies of precast construction methods highlight their superiority over traditional cast-in-situ construction in reducing buildings’ environmental impacts. Among the extensively used precast structural elements, hollow core precast slabs have proven benefits with their practical implementation in flooring systems across various flooring spans and live loads. This paper presents a case study comparing the global warming potential and embodied energy impacts of a recently developed lightweight prefabricated composite flooring system (PUSS) with zinghollow core precast slabs in the UK. The analysis is based on 16 live load/flooring span scenarios, between 6 and 12m. The study examines the benefits and drawbacks of utilising different concrete types in PUSS flooring, namely normal weight concrete, lightweight aggregates concrete and geopolymer concrete. PUSS with GPC demonstrates potential savings of up to 50 % in GWP compared with hollow core slabs, while PUSS with LWC exhibits potential savings of up to 35 % in total EE compared with hollow core slabs.

Binding-induced activation of CRISPR-Cas12a using PAM-engineered toehold switch and DNA tile architectures for enhanced detection of thrombin

This study presents a novel biosensor that integrates CRISPR-Cas12a technology with DNA tile-based architectures to enhance thrombin detection. Utilizing PAM-engineered toehold switches, the biosensor dynamically activates the CRISPR-Cas12a system upon thrombin recognition, significantly improving both sensitivity and specificity. The label-free electrochemical detection method offers rapid, cost-effective analysis, making it ideal for real-time clinical applications. The biosensor achieved an impressive detection limit of 103 aM, surpassing traditional methods and setting a new standard for thrombin assays. The biosensor's robust performance in complex biological samples, such as diluted human serum, demonstrates its reliability for clinical diagnostics. This is particularly important for the early diagnosis and management of thrombotic and coagulation-related disorders. By combining advanced genetic engineering with traditional electrochemical techniques, the biosensor not only optimizes detection but also expands its potential applications across various biomedical fields. Overall, this biosensor provides a powerful and innovative tool for thrombin detection, offering enhanced diagnostic accuracy, faster patient management, and potential cost savings in healthcare. Its superior performance and adaptability highlight its promise for broader adoption in clinical diagnostics and other biosensing applications.

Audit Energi Listrik Gedung Tower 1 Institut Teknologi Sepuluh Nopember Surabaya

Tower 1 at Institut Teknologi Sepuluh Nopember Surabaya is a high-rise building (High Risk Building) in the education and office sectors, experiencing an annual increase in energy consumption. Therefore, regular and thorough energy audits are necessary to save electricity consumption and ensure that usage aligns with the Indonesian Ministry of Energy and Mineral Resources Regulation No. 13 of 2012. An energy audit is a method to calculate the energy consumption level of a building and determine potential energy savings through energy conservation. The Electrical Energy Consumption Intensity (IKE) is used as a parameter to determine whether the building's energy consumption is efficient or wasteful. The initial energy audit of Tower 1 was conducted quantitatively with on-site measurements over one year, covering the building's electrical system and area. The measurements indicated that the IKE of Tower 1 is 50.86 kWh/m²/year. Subsequently, the total installed electrical energy consumption load was calculated, yielding an IKE of 166.15 kWh/m²/year. Based on the initial energy audit results, energy conservation measures were recommended, including upgrading the lighting system with higher lumen lamps and adjusting air conditioning (AC) to the established standards. Implementing these recommendations resulted in an increased IKE of 176.04 kWh/m²/year, which is still considered efficient compared to the ASEAN-USAID standard of 240 kWh/m²/year.

A hybrid maintenance approach for key components of the train bogie to optimize fleet availability

In the context of intelligent transport systems and the rapid development of the global economy, railways face increasing demand to become safer, more efficient, and more sustainable. As a critical structure of the railway vehicle, the bogie, designed to support the vehicle body and transmit dynamic loads through the wheels, houses several components that are vital for the reliability and safety of the train. The maintenance of such a structure is complex and can greatly benefit from hybrid approaches that leverage the potential of condition-monitoring data in proactively identifying faults or irregularities whilst ensuring appropriate intervals that maximize the availability of resources. This paper proposes a hybrid maintenance approach that combines preventive maintenance, condition-based monitoring, and predictive maintenance for the key components of the bogie, aiming to optimize costs while exploiting potential economic savings of maintenance decisions for different grouping strategies, therefore, maximizing fleet availability. The model aims to study the feasibility and measure the expected economic returns of shifting from a complete preventive maintenance program to a hybrid program incorporating predictive maintenance tasks in selected components of the bogie. A deterioration model, along with failure rate estimation, is proposed and integrated into the optimization formulation. A case study of a railway company operating in Catalonia, Spain, is presented. The framework demonstrates flexibility in tackling current maintenance practices, including hierarchy and periodicity of maintenance tasks according to the intervention type and flexible hazard rates with three stages to mimic the bathtub curve behaviour. The results show that shifting to a hybrid maintenance plan has great potential to reduce costs.

Energy saving starts in the kitchen

The field of sustainable construction and interior design demands innovative solutions to optimize energy efficiency and minimize environmental impact. This need has been further amplified by the European Community's Directive on Energy Efficiency 2012/27/EU and its subsequent revisions. The kitchen, as a central hub of domestic energy use, presents a significant opportunity for improvement. This paper introduces a novel application of heat pump technology for energy reuse in household appliances. The proposed SMACK (SMArt energy-Conserving Kitchen) system embodies a holistic approach, merging eco-sustainability with advanced design principles. SMACK's modularity enables customization and scalability to meet diverse requirements. A comprehensive assessment indicates potential average energy savings approaching 50%, contingent upon appliance configuration. Importantly, this study incorporates preliminary real-world measurements on a minimal appliance, offering empirical insights into the SMACK system's performance. The SMACK project signifies a major step towards environmentally conscious design, setting a new standard for sustainable technology integration within the home.

A Budget Impact Analysis of Adalimumab Biosimilars; The Albanian Context

Adalimumab is used to treat various autoimmune conditions, such as rheumatoid arthritis, ankylosing spondylitis, psoriasis, psoriatic arthritis, Crohn’s disease, and ulcerative colitis. Adalimumab is a tumor necrosis factor (TNF) inhibitor. Adalimumab biosimilars have the potential to reduce costs for the healthcare system. The aim of the study is to develop a drug budget impact analysis to assess the potential financial impact of the availability of the biosimilar adalimumab-aacf in terms of cost savings due to its lower price compared to adalimumab-adaz. Methods: This is a budget impact analysis and cost calculator model in Microsoft Excel based on FDSKSH’s data for 2023. Results: Adalimumab biosimilars accounted for approximately 25% of biologic drug prescriptions in 2023. The reimbursement cost of biologic drugs for autoimmune diseases was ALL 186,523,409 in 2023 (1 ALL = 0.01 USD). Of that cost, 15.21% accounted for treatment with adalimumab biosimilars. Adalimumab-aacf was available at a 15.82% lower price than adalimumab–adaz. The analysis indicated that the replacement of the biosimilar adalimumab-adaz with the biosimilar adalimumab-aacf could have resulted in cost savings of ALL 968,138, and the reimbursement cost of biologic drugs for autoimmune diseases could have been 3% lower. With the potential cost savings, two more patients could have had access to biologic drugs in 2023. Conclusions: The Drug Budget Impact Analysis estimated that the availability of adalimumab-aacf would be more profitable in terms of cost savings compared to adalimumab-adaz. The scenario could result in increased treatment access for patients.

AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings

Despite the tightening of energy performance standards for buildings in various countries and the increased use of efficient and renewable energy technologies, it is clear that the sector needs to change more rapidly to meet the Net Zero Emissions (NZE) scenario by 2050. One of the problems that have been analyzed intensively in recent years is that buildings in operation use much more energy than they were designed to. This problem, known as the energy performance gap, is found in many countries and buildings and is often attributed to the poor management of building energy systems. The application of Artificial Intelligence (AI) to Building Energy Management Systems (BEMS) has untapped potential to address this problem and lead to more sustainable buildings. This paper reviews different AI-based models that have been proposed for different applications and different buildings with the intention to reduce energy consumption. It compares the performance of the different AI-based models evaluated in the reviewed papers by presenting the accuracy and error rates of model performance and identifies where the greatest potential for energy savings could be achieved, and to what extent. The review showed that offices have the greatest potential for energy savings (up to 37%) when they employ AI models for HVAC control and optimization. In residential and educational buildings, the lower intelligence of the existing BEMS results in smaller energy savings (up to 23% and 21%, respectively).

Towards Sustainable Water Use in Two University Student Residences: A Case Study

This research is focused on the water usage patterns in two student residences—one for male students (Residence I) and the other for female students (Residence II). Surveys and measurements of flushing cisterns, taps, and shower flows were conducted to understand water use behaviors. Scenario 1 proposed replacing washbasin and kitchen taps and installing flow reducers in showers, while Scenario 2 combined Scenario 1 with a rainwater harvesting system for recharging flush cisterns. Showers were found to be the most water-consuming devices, accounting for 46% and 61.41% of water consumption in Residences I and II, respectively, followed by kitchen taps (31.51% in Residence I and 11.52% in Residence II). The flushing cistern consumption was 7.02% in Residence I and 13.22% in Residence II. The implementation of Scenario 1 anticipates a 13% reduction in total water consumption in Residence I and a 10% reduction in Residence II. The reduction in hot water consumption would result in a decrease in annual electricity consumption by 27.8% and 23.06% in Residence I and II, respectively. With the implementation of Scenario 2, the total potential water savings for Residence I could increase to 19.98%, and for Residence II, it could rise to 23.17%. The proposed measures aim to enhance water sustainability in these buildings and can be replicated elsewhere.

Case study on multi-objective Modified Supply-Demand-based Optimization Algorithm for energy-efficient building retrofitting

Investing in energy-efficient retrofitting of existing buildings requires a robust decision-making framework. This study develops a multi-objective optimization technique to assist designers in minimizing payback time and maximizing energy savings within a specified initial investment. The proposed method utilizes a novel metaheuristic, the Modified Supply-Demand-Based Optimization Algorithm (MSDOA), to achieve optimal decisions. The model was tested on nine case studies involving buildings with various facilities, demonstrating its effectiveness. For example, an investment of $190,000 resulted in a payback period of less than three years and energy savings of over 10 % of the baseline consumption. The model considers initial investment, net present value (NPV), payback period, and energy targets as constraints. To evaluate the model's robustness, a sensitivity analysis was performed, examining the impact of varying initial investments, energy savings miscalculations, auditing errors, changes in electrical power costs, and interest rates. The results indicate that higher investments consistently lead to increased energy savings, though the payback period may vary. The MSDOA showed superior convergence speed compared to other algorithms, ensuring more reliable and accurate optimization outcomes. This study confirms the validity of the proposed design and highlights its potential for significant energy savings and financial benefits in building retrofitting projects.

Freight train scheduling for industrial lines with multiple railway undertakings

With the liberalisation of the rail freight market, the number of railway undertakings in operation is increasing. Trains run by several railway undertakings (RUs) converge at industrial lines leading up to terminals. Here, uncoordinated interaction between mainline RUs and limited infrastructure capacity leads to bottlenecks, which reduces resource utilisation of railway undertakings. Outsourcing last-mile operations to an independent local railway undertaking can improve capacity utilisation and decrease the time engines of mainline engines spend within the considered network. In this paper, we propose the Industrial Line Scheduling Problem with multiple RU, a resource scheduling model for freight trains at industrial lines. The aim is to minimise unproductive time of mainline engines and the number of deployed local engines. The results show that the potential savings per employed local engine are highly dependent the timetables of inbound and outbound trains within the network, the dwell time of railcars and on the degree of local railway undertaking involvement.

Drug Pricing Stewardship from Mark Cuban's Cost Plus Generic Drug Program.

The exceedingly high US spending per capita on prescription medications is mediated, at least in part, by the inefficiencies of existing generic pharmaceutical distribution and reimbursement systems; yet, the extent of potential savings and areas for targeted interventions for generic drug prescribers remains underexplored. We aimed to analyze 2021 Medicare Part D spending on generic drugs in comparison with pricing of a low-cost generic drug program, the Mark Cuban Cost Plus Drug Company (MCCPDC), to gauge the extent of achievable potential savings. In this retrospective, observational study, we performed a systematic analysis of potential Medicare Part D savings when using MCCPDC generic pricing. The 2023 MCCPDC data, as of August 2023, were obtained from the provider's publicly available database. The 2021 Medicare Part D data and prescriber datasets were obtained from the US Centers for Medicare and Medicaid Services. Outcomes included total prescription volume, proportion of drugs with savings, total US dollar Medicare savings, and average weighted price reduction per unit drug. Results were stratified by medical and surgical subspecialties to identify areas for targeted interventions. Subspecialty-wise contribution to total savings versus contribution to total prescription volume was characterized. Total estimated Medicare Part D savings were $8.6 billion using 90-day MCCPDC pricing, with surgical drugs accounting for over $900 million. Nearly 80% of the examined drugs were more price effective through MCCPDC using 90-day supply. Commonly prescribed drugs in cardiology, psychiatry, neurology, transplant surgery, and urology demonstrated the highest estimated absolute savings. The most disproportionate savings relative to prescription volume were observed for drugs in oncology, gynecology, infectious disease, transplant surgery, and colorectal surgery. This study underscores the significant potential for Medicare Part D savings through strategies that address the systemic overpayment for generic medications. We identified key areas for reform as well as specific medical and surgical subspecialties where targeted interventions could yield substantial savings.

Greenhouse gas, water, and economic implications of permeable pavements: Quantification for pilot sponge cities in China

Climate change has exacerbated the occurrence of extreme storms, resulting in urban flooding. However, rainwater is a potential source of water for various end uses of municipal water. In this context, permeable pavements are promising for mitigating floods and alleviating water stress in cities. Herein, a process-based life-cycle inventory modeling approach was used to quantify the life-cycle greenhouse gas (GHG) and water footprints of different road pavements in 28 pilot sponge cities in China. Three asphalt pavements were considered in this study: permeable-surface, permeable-base, and conventional nonpermeable pavements. Moreover, life-cycle cost analyses were performed to reveal the cost-effectiveness of these pavements. Results showed that permeable-base pavements exhibited the highest levelized GHG emissions (5.9 kg CO2e/m2/yr), followed by nonpermeable (5.5 kg CO2e/m2/yr) and permeable-surface pavements (3.8 kg CO2e/m2/yr). In terms of levelized water footprint, permeable-base and permeable-surface pavements enabled water savings (433.8 and 304.1 kg/m2/yr, respectively), while nonpermeable pavements consumed 30.6 kg/m2/yr of water. The levelized life-cycle costs of permeable-surface, permeable-base, and nonpermeable pavements were 32.8, 35.4, and 40.5 yuan/m2/yr, respectively. With regard to transitioning from nonpermeable to permeable pavements in urban road construction, Chongqing and Shenzhen presented favorable potential for GHG mitigation (22 and 26 kt CO2e/yr, respectively) and water savings (196 and 187 Mt/yr, respectively). Contrarily, Hebi, Yuxi, Sanya, Qianan, Chizhou, and Xining were not cost-effective in terms of GHG emission reduction. Moreover, in this study, GHG–water–cost tradeoffs were identified among different pavements, highlighting directions for unlocking the green benefits of installing permeable asphalt pavements in China.

Tier-specific energy benchmarking for disparate schools in developing South Africa

The increasing impacts of human-induced climate change in developing countries have spurred government policies, activism, and sustainability research aimed at reducing energy consumption. Understanding the electricity usage of buildings is crucial to cutting carbon emissions and achieving cost savings. This study addresses the challenge of establishing realistic and relevant energy benchmarks for educational institutions in developing countries, specifically focusing on the Western Cape, South Africa. Schools in this region exhibit significant differences in energy intensities but are currently assessed using the same reference standard. A top-down analysis was performed using descriptive statistics to develop energy performance benchmarks tailored to unique patterns of energy consumption in schools. Data from 31 less affluent schools were collected using smart meters to ensure accuracy. The proposed reference benchmarks, ranging from 12 to 37kWh/m2 per year, are significantly lower than the existing 60kWh/m2 per year benchmark, demonstrating substantial potential for energy savings. This nuanced benchmarking approach accounts for seasonal and term variations in energy usage, providing a more accurate comparison across schools. The research introduces a novel, context-sensitive benchmarking method that extends beyond existing standards by incorporating these variations. It underscores the importance of localized benchmarks for achieving school energy efficiency, contributing to environmental preservation and financial savings. The proposed benchmarks offer a robust framework for policymakers, standard bureaus, and education departments to craft energy efficiency policies that drive progress in the education sector. By addressing the unique energy usage patterns of schools, this approach facilitates targeted interventions, leading to improved energy management and sustainability.

Disparities and Medical Expenditure Implications in Pediatric Tele-Mental Health Services During the COVID-19 Pandemic in Mississippi.

Tele-mental health (TMH) services, including both mental and behavioral healthcare (MBH) services, emerged as a cornerstone in delivering pediatric mental healthcare during the coronavirus disease 2019 (COVID-19) pandemic, yet their utilization and effects on healthcare resource utilization (HCRU) and medical expenditures remain unclear. To bridge the gap, this study aims to investigate the association between TMH utilization and sociodemographic factors and assess its associated HCRU and medical expenditures within a pediatric population in Mississippi. Studying 1,972 insured pediatric patients who accessed outpatient MBH services at the study institution between January 2020 and June 2023, age, race, insurance type, rural residency, and household income were identified as key determinants of TMH utilization. Adjusting for sociodemographics, TMH utilization was associated with 122% more MBH-associated outpatient visits and 36% higher related medical expenditures, but 27% less overall medical expenditures. This study reveals sociodemographic disparities in pediatric TMH utilization, highlights its role in augmenting outpatient mental healthcare access, and shows its potential for cost savings. Future efforts should aim at fostering more digitally inclusive, equitable, and affordable pediatric mental healthcare services.

Solution of the modular PCM-based cooling ceiling and ventilation system

Most newly constructed buildings are now built to energy-passive standards, which set requirements for specific heating demand, non-renewable primary energy use, building envelope airtightness, and the frequency of exceeding permissible indoor air temperatures in summer. These temperature exceedances relate to the room’s thermal stability, determined by the potential for heat accumulation in surrounding structures over the daily cycle. For buildings with lightweight construction, implementing a Thermal Energy Storage (TES) solution can significantly enhance their energy accumulation ability. This article addresses the design and evaluation of a progressive cooling ceiling system combined with active ventilation system components, including the incorporation of TES based on PCM materials. The proposed solution aims to improve the thermal stability of occupied spaces, thereby significantly reduce the need for mechanical cooling. The research developed a new methodology for measuring the energy performance parameters of modular cooling ceiling systems, with its implementation thoroughly discussed. The evaluation of this solution was conducted within the context of the entire energy system for a reference building, considering various construction types (lightweight, medium, heavy). The overall potential energy savings range from 13% to 32%, depending on the building’s construction, while still meeting the required thermal comfort criteria.