The study examined the Evaluation and Integration of Green Building Materials (GBMs) for Sustainable Construction
in Uganda with the aim of assessing their mechanical, environmental, and socio-economic performance and
developing strategies for their adoption. The objectives were to quantitatively evaluate the mechanical and physical
properties of selected local GBMs, to assess the environmental and economic viability of GBM-based structural
systems through Life Cycle Assessment (LCA) and Life Cycle Cost Analysis (LCCA), and to identify key perceived
barriers and drivers influencing GBM adoption among construction professionals, ultimately developing a strategic
framework for their integration into urban building codes. Laboratory experiments were conducted on stabilized earth
blocks, bamboo composites, compressed agricultural panels, and recycled concrete aggregates to determine
compressive strength, flexural strength, water absorption, thermal conductivity, and density. LCA and LCCA were
performed to compare the environmental footprint and long-term costs of GBM-based systems relative to conventional
materials, and surveys were administered to construction professionals to assess adoption barriers and drivers. The
results indicated that the selected GBMs exhibited adequate mechanical and physical performance for building
applications. Stabilized earth blocks demonstrated compressive strengths of 3.8–5.2 MPa, bamboo composites showed
tensile strengths of 12–15 MPa and flexural strengths of 20–25 MPa, compressed agricultural panels had compressive
strengths of 4.5–6.0 MPa, and recycled concrete aggregates retained 85–90% of conventional aggregate strength.
Thermal conductivity and density tests confirmed that GBMs were lightweight and provided superior insulation,
enhancing energy efficiency. Environmental assessment revealed that GBM-based systems reduced embodied carbon
emissions by 48–52% and water consumption by 36–63% compared to conventional concrete. Life cycle cost analysis
showed that although initial costs were slightly higher for some GBMs, lifecycle costs were lower due to reduced
maintenance and extended service life, with SEB walls achieving a 17% reduction in total lifecycle costs. Surveys
highlighted that key adoption barriers included limited technical knowledge (64%), insufficient design codes (58%),
and inadequate market supply (53%), while drivers included high environmental awareness (72%), government
promotion of sustainability (65%), and growing demand for energy-efficient buildings (60%). It was concluded that
locally available GBMs were technically, environmentally, and economically suitable for sustainable construction in
Uganda. The materials demonstrated sufficient strength, durability, and insulation properties, while GBM-based
structural systems offered lower environmental impact and reduced lifecycle costs compared to conventional
materials. The study also concluded that professional capacity, standardized codes, and institutional support were
critical for widespread adoption of GBMs. Based on these findings, it was recommended that the government develop and integrate GBM standards into national building codes, implement pilot demonstration projects in different urban contexts, strengthen supply chains for local GBMs, provide professional training programs, introduce policy incentives and green certification schemes, and conduct public awareness campaigns to promote adoption. Continuous environmental and economic monitoring was also advised to ensure long-term sustainability and performance.

The study examined the Design, Performance, and Economic Feasibility of a Solar-Powered Water Pumping System
for Rural Communities in Uganda. The objectives were to design and simulate a solar-powered water pumping system
optimized for local hydrological and solar conditions, to empirically evaluate the system’s technical performance over
a 12-month period, and to conduct a comprehensive economic analysis comparing its life-cycle costs to a conventional
diesel-powered alternative. The system was designed using a 3.6 kW photovoltaic (PV) array coupled with a 10 kWh
battery storage system to meet the community’s daily water demand of 5,000 liters and a total pumping head of 25
meters. Simulation results indicated an overall system efficiency of approximately 68%, demonstrating that the system
could reliably supply water under the local solar irradiance and hydrological conditions. Empirical evaluation over
one year revealed that average daily flow rates ranged from 4.5 to 5.0 m³/day, with peak performance during high
solar irradiance months and minor reductions during the rainy season. System efficiency ranged from 66% to 71%,
accounting for real-world factors such as dust accumulation and minor maintenance requirements. The system
consistently met the community’s water needs, validating the simulation results and demonstrating the reliability of
solar-powered pumping under local conditions. Economic analysis showed that, despite a higher initial capital cost
(USD 12,000) compared to a diesel alternative (USD 7,500), the solar system’s annual operating costs were
substantially lower (USD 150 versus USD 2,400). Life-cycle cost assessment over 20 years indicated a total cost of
USD 15,000 for the solar system versus USD 31,500 for diesel, representing a 52% reduction in long-term expenditure,
with a payback period of approximately five years. It was concluded that solar-powered water pumping systems were
technically reliable, operationally efficient, economically viable, and environmentally sustainable for rural Ugandan
communities. They provided consistent water supply, reduced dependency on fossil fuels, and offered long-term cost
savings compared to conventional diesel-powered systems. The study recommended optimizing system design based
on local conditions, implementing structured maintenance and monitoring programs, providing community training
for operation and upkeep, promoting supportive policies and financial incentives, and scaling up successful systems
to other rural communities to enhance water security and sustainable development.

This study designed and simulated three low-cost solar microgrid architectures to address the critical challenge of offgrid rural electrification in Uganda. The primary objective was to identify the most techno-economically viable and
sustainable configuration for a model community of 100 households. The methodology involved modeling three
distinct systems a PV-battery system (Microgrid A), a PV-battery-diesel hybrid (Microgrid B), and a PV-wind-battery
hybrid (Microgrid C) using the HOMER Pro software, with analysis based on local solar resource data, detailed load
profiling, and sensitivity analyses for key variables like fuel cost and component pricing. The results demonstrated
that Microgrid A was the most optimal configuration, achieving a levelized cost of energy (LCOE) of $0.18/kWh, a
100% renewable fraction, and zero carbon emissions, while reliably meeting the community's annual energy demand
of 110,000 kWh. Microgrid B, though reliable, proved economically and environmentally inferior with an LCOE of
$0.23/kWh and annual emissions of 9.2 tCO₂ due to diesel dependency. Microgrid C, while fully renewable, had a
higher LCOE of $0.20/kWh and capital cost, making it less attractive. Sensitivity analysis confirmed the robustness
of Microgrid A, showing minimal LCOE fluctuation under cost and demand variations. It was concluded that a solarplus-storage microgrid is the most feasible solution for rural Uganda, balancing cost, sustainability, and reliability. It
is therefore recommended that stakeholders proceed with the pilot deployment of Microgrid A, supported by a phased
implementation plan, community-based management training, and a sustainable tariff model to ensure long-term
operational and financial viability.

The study investigated the design, development, and evaluation of an IoT-based Intelligent Energy Management
System (IEMS) aimed at optimizing energy utilization in rural and semi-urban settings in Uganda. The objectives
were to design a functional and cost-effective hardware system for real-time energy monitoring, develop robust
decision-making algorithms to optimize energy source selection among solar, grid, and battery, and quantitatively
evaluate the system’s impact on critical energy performance metrics. The hardware prototype demonstrated high
accuracy in monitoring key parameters, including voltage, current, power consumption, solar generation, and battery
state-of-charge, with measurement accuracy consistently above 95%. The decision-making algorithms significantly
enhanced operational efficiency by dynamically selecting the most cost-effective and reliable energy sources. The
system reduced daily energy costs by 44–49%, decreased grid dependency by over 50%, and increased renewable
energy utilization to 67% while maintaining full load coverage and ensuring stable voltage supply. Overall system
reliability improved to 99%, and voltage fluctuations were reduced by 75%, indicating robust performance under realworld operating conditions. These results confirmed that the integration of high-accuracy IoT monitoring with
intelligent optimization algorithms could deliver substantial economic and technical benefits. It was concluded that
the IEMS was effective, scalable, and contextually appropriate for Uganda, providing a sustainable solution for energy
management that maximized renewable energy use, reduced operational costs, and improved load stability and system
reliability. The study recommended scaling up deployment across rural and semi-urban areas, building local technical
capacity through training, engaging communities to promote acceptance and ownership, integrating the system with
supportive policy frameworks, and continuously optimizing algorithms and hardware based on performance data.
Further research was advised to assess long-term impacts, scalability, and economic viability in diverse contexts.

The study investigated the prevalence, effectiveness, and contextual factors influencing maintenance strategies in
manufacturing firms in Uganda, with a particular focus on predictive maintenance (PdM). The objectives were to
identify the current prevalence and sophistication of maintenance strategies, to quantitatively evaluate the impact of
PdM techniques on equipment downtime, and to analyze the critical success factors and barriers affecting the effective
implementation of PdM programs. Data were collected from 80 manufacturing firms using structured questionnaires,
interviews, and equipment performance records. The analysis revealed that reactive maintenance remained common
in 35% of firms, preventive maintenance in 40%, and predictive maintenance in only 25%, indicating low adoption of
advanced maintenance strategies. Empirical results demonstrated that firms employing PdM techniques, such as
vibration analysis, thermal imaging, oil analysis, and ultrasonic testing, experienced significant reductions in
equipment downtime, averaging 13.5 hours per month compared to 22 hours under reactive maintenance, representing
a 41% reduction. The study also identified that managerial support (72%), financial resources (65%), and technical
expertise (60%) were critical success factors for effective PdM implementation, while barriers such as inadequate
infrastructure (42%), resistance to organizational change (45%), and limited technical skills (40%) hindered adoption.
These findings highlighted that technological adoption alone was insufficient; financial, managerial, and
organizational readiness were essential for sustainable PdM programs. It was concluded that predictive maintenance
substantially enhanced operational efficiency, reduced unplanned downtime, and extended equipment life, but its
adoption in Uganda remained limited due to financial, technical, managerial, and infrastructural constraints. The study
recommended that firms strengthen managerial commitment, invest in PdM technologies and workforce training,
improve infrastructure, implement pilot programs, foster organizational culture change, and develop sustainable
maintenance frameworks. Supporting policies, financial incentives, and knowledge-sharing platforms were also
advised to facilitate broader adoption and long-term sustainability of PdM in the manufacturing sector.

The study examined the Optimization of Pavement Design Using Recycled Plastic Waste for Sustainable Road
Construction in Uganda with the aim of enhancing pavement performance while addressing the environmental
challenge of plastic waste accumulation. The research specifically sought to characterize and optimize the material
properties of plastic-modified bitumen using locally sourced recycled plastic waste and Ugandan bitumen; to evaluate
the mechanical performance and durability of the optimized plastic-modified asphalt concrete mix under simulated
Ugandan environmental and traffic conditions; and to assess the technical, economic, and environmental feasibility of
implementing the optimized pavement design for large-scale adoption in Uganda. Laboratory experiments were
conducted using penetration, softening point, ductility, specific gravity, and flash point tests on both conventional and
plastic-modified bitumen at varying plastic contents of 5%, 10%, and 15%. Marshall stability tests were also carried
out to assess the strength and flow characteristics of asphalt concrete mixtures. The results indicated that the
incorporation of recycled plastic waste into bitumen significantly improved its physical and thermal properties. The
penetration value decreased from 63 mm in conventional bitumen to 49 mm at 10% plastic content, while the softening
point increased from 46.2°C to 57.6°C, showing enhanced stiffness and temperature resistance. Ductility slightly
reduced but remained within acceptable limits, confirming that flexibility was not compromised. The optimum
performance was observed at 10% plastic content, which provided the best balance between stiffness and flexibility.
The Marshall stability of the asphalt concrete increased from 12.4 kN for conventional asphalt to 16.7 kN for the 10%
plastic mix, and the Marshall quotient improved from 3.26 to 5.21 kN/mm, indicating higher load-bearing capacity
and resistance to deformation. Additionally, durability tests revealed improved resistance to moisture damage and
stripping, making the mix suitable for Uganda’s tropical climate.
Economically, the study found that while the initial production cost of plastic-modified asphalt was about 12.5%
higher than conventional asphalt, the long-term benefits were significant. Maintenance costs were reduced by
approximately 42%, and the service life increased from 8 to 13 years, yielding substantial cost savings over the
pavement’s lifespan. Environmentally, each kilometer of plastic-modified road consumed about 1,200 kilograms of
recycled plastic waste and reduced carbon emissions by 31%, demonstrating the sustainability of the technology. It
was concluded that the use of recycled plastic waste in bitumen modification improved pavement performance,
extended service life, and contributed to environmental conservation. The optimized mix at 10% plastic content was
found to be technically feasible, economically viable, and environmentally sustainable for large-scale implementation in Uganda. It was recommended that the Ministry of Works and Transport and the Uganda National Roads Authority develop national standards and guidelines for the use of plastic-modified asphalt. Pilot projects should be conducted in different climatic zones to evaluate long-term field performance, and capacity-building programs should be introduced for engineers and contractors. Furthermore, plastic waste collection systems should be strengthened, and incentives should be provided to encourage private sector investment in recycling for road construction.