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Procurement and Deployment of Low-Cost Air Quality Sensors (LCS) in Kilifi, Kajiado, and Kiambu Counties

About Cities Program
African cities are growing rapidly: The continent's urban population will double by 2050, reaching 1.5 billion people. But urban infrastructure and services are not meeting demand.

Most growth is happening in informal settlements, where people do not have reliable, safe or affordable access to essential everyday services. About 51% of city residents in sub-Saharan Africa live in places that exceed safe limits for air pollution. Many cities are located along coasts and major rivers, exposing citizens to dangerous floods. Globally, urban areas produce 70% of the greenhouse gas emissions that are causing escalating climate impacts like heatwaves and droughts.

This puts Africa's cities at a key inflection point. More than three-quarters of the infrastructure that will exist in African cities by mid-century is yet to be built, offering immense opportunity to improve urban planning as cities expand. It is essential that this development is not only low-carbon and climate-resilient, but also enhances access to crucial services such as running water and sanitation, electricity, decent housing, transport, and dignified, healthy urban jobs.

Our goal is to transition Africa's urban systems to provide a better quality of life and health through equitable access to jobs and core services for all residents — especially the underserved. At the same time, we're working to make cities more resilient to climate change and help them achieve climate neutrality by 2050.

WRI works to ensure the future of African cities by helping city administrations, private and public investors and donors make informed decisions on city planning and policy. Our approach in all cities is to:

• Develop liveable neighborhoods. We work closely with city agencies and other decision-makers to reduce air pollution; restore urban forests and watersheds; develop safe and reliable transportation; and ensure all residents can access sanitation, clean water, parks and other services.
• Build resilient water systems. We aid cities in overcoming water challenges and reducing exposure to floods by advancing nature-based solutions for flood mitigation.

About The Kenya —Small Vehicles E-Mobility
The project, "Kenya —Small Vehicles E-Mobility" has the overall goal of accelerating the transition towards e-mobility to achieve reductions in transport sector emissions, as well as create green jobs and industrial growth in the assembly and manufacturing of e-vehicles. The project will focus on increasing the uptake of electric two wheelers (boda bodas) and three wheelers (tuk tuks) in peri-urban and rural areas of Kenya. The project anticipates propelling the market to reach critical mass that will result in market driven initiatives to further transformation of the transport sector.

Objectives of this Assignment

The main objective of this assignment is to procure, deploy, and operationalize a network of low-cost air quality sensors (LCS) in Kilifi, Kajiado, and Kiambu Counties to enhance spatial coverage, data access, and evidence-based air quality management. Specifically, the assignment aims to:

• Expand Monitoring Coverage: Establish a network of reliable, calibrated low-cost sensors to complement reference-grade stations and fill existing monitoring gaps in the selected counties.
• Generate Hyperlocal Air Quality Data: Provide data to identify pollution hotspots, analyze trends, and inform county-level air quality management and mitigation measures.
• Support Evidence-Based Policy and Planning: Enable County governments and WRI partners to use air quality data for policy formulation, enforcement of the Environmental Management and Coordination (Air Quality) Regulations, 2024, and development of county clean air action plans.
• Enhance Community and Institutional Engagement: Increase public awareness and participation in air quality management through deployment in institutions such as schools, hospitals, and local government offices.
• Strengthen Technical Capacity and Data Systems: Build local capacity in sensor installation, calibration, data interpretation, and maintenance; and ensure integration with an online data platform for visualization and public access.

Scope of Work

The vendor will be responsible for the procurement, deployment, and operationalization of approximately 20 low-cost air quality sensors (LCS) across Kiambu, Kajiado, and Kilifi Counties, under the guidance of the WRI Air Quality Team and in close collaboration with county governments and other knowledge

• Procurement and Technical Demonstration
• Supply approximately 20 calibrated and warranty-backed low-cost air quality sensors within a hardware budget ceiling of USD 10,000.
• The final number and distribution of sensors may vary based on findings from preliminary site visits and assessments.
• Each sensor should include measurement capability for PM₂.₅, PM₁₀, temperature, and humidity.
• Demonstrate technical capability in manufacturing, calibration, and quality assurance, including co-location or certification data.
• Provide a detailed specification sheet, warranty terms, and a plan for sensor maintenance and reliability assurance.
• Site Selection and Deployment
• Conduct preliminary scoping to understand urban, peri-urban, and rural dynamics in each county.
• Identify emission hotspots (e.g., transport corridors, industrial zones, waste burning sites, densely populated estates).

• Apply agreed site selection criteria, emphasizing:

• Population exposure and pollution source proximity.

• Representativeness of contrasting contexts (urban core, peri-urban, rural).
• Security, accessibility, and availability of stable power and connectivity.

• Institutional readiness of hosting partners (schools, health facilities, local offices).

• Work with WRI and county partners to validate and finalize monitoring locations.

• Installation and Operationalization
• Oversee installation, ensuring all devices are properly mounted, powered, and transmitting data to the central platform.
• Configure sensors for real-time data transfer, with backup storage capability.
• Provide maps and reports of all deployed sites, including GPS coordinates, justification for each site, and photos.
• Integrate the network into an existing or vendor-provided cloud-based dashboard compatible with WRI data systems.
• Capacity Building and Knowledge Transfer
• Develop and deliver training for county officials and technical staff on sensor operation, calibration, maintenance, and data interpretation.
• Prepare user manuals, quick guides, and maintenance protocols.
• Facilitate awareness sessions with local institutions and communities to strengthen ownership and understanding of air quality data applications.
• After-Sales Support and Maintenance
• Provide a comprehensive maintenance and warranty plan covering calibration checks, firmware updates, and replacement of faulty units.
• Offer remote and on-site technical support throughout the project duration (2025–2029).
• Ensure data reliability through periodic audits and quality-control mechanisms.
• Deliverables

No.

Deliverable

Timeline

Site selection report including criteria application, stakeholder consultations, and final site list.

3 weeks after contract signing.

Procurement of approximately 20 LCS with warranty.

One month after contract signing.

Technical demonstration of sensor calibration and functionality.

Two months after contract signing.

Installed and operational sensors in Kilifi, Kajiado, and Kiambu.

One month after contract signing.

Training materials and user manuals.

1 month after contract signing

After-sales support and maintenance plan.

For 6 months upon installation

• Qualifications of Vendor
• Demonstrated experience in manufacturing and deploying low-cost air quality sensors.
• Proven track record in site selection and deployment in Kenya/ Region.
• Ability to work with subnational governments and communities.
• Capacity to provide technical support and training within Kenya.
• Duration

The assignment will run for six months, covering procurement, site selection, installation, training, and handover.

• Evaluation Criteria
• Technical competence in LCS manufacture and deployment – 40%
• Site selection methodology and justification – 30%
• Capacity to provide training and after-sales support – 10%
• Capacity to deliver long term Maintenance-5%
• Financial Proposal & value for Money
• Proposal Submission Requirements
• All proposals should be submitted via mail to Lilian Nyangweso at (email protected) and cc Reynolds @ (email protected) by COD 17th October 2025.Incomplete submissions will not be considered.

Any queries about this RFP should be sent via email by latest 15th October to (email protected) with a cc to (email protected)

• Analyze and interpret geological and geophysical data, including seismic surveys, well logs, and core data, to identify potential hydrocarbon reservoirs.
• Develop and refine geological models of sedimentary basins and subsurface structures.
• Assess the petroleum potential of exploration acreage, estimating reserves and identifying risks.
• Generate exploration leads and drillable prospects, providing detailed geological rationale.
• Collaborate with geophysicists on seismic data processing and interpretation workflows.
• Work with reservoir engineers to integrate geological data into reservoir simulation models.
• Prepare comprehensive geological reports, presentations, and prospect evaluations for management and joint venture partners.
• Stay abreast of the latest advancements in exploration technologies and methodologies.
• Mentor junior geologists and contribute to the technical development of the exploration team.
• Ensure data quality and maintain accurate geological databases.
• Participate in exploration strategy formulation and risk management processes.

• Master's or Ph.D. in Geology, Geophysics, or a related Earth Science field.
• Minimum of 7 years of experience in oil and gas exploration geology, with a strong focus on prospect generation and evaluation.
• Proficiency in geological modeling software (e.g., Petrel, GeoViz, Kingdom Suite) and seismic interpretation software.
• Solid understanding of basin analysis, structural geology, sedimentology, and petroleum systems.
• Experience in analyzing various types of well logs and core data.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to collaborate effectively in a remote setting.
• Proven ability to work independently and manage multiple exploration projects simultaneously.
• Demonstrated success in identifying commercially viable exploration opportunities.
• Familiarity with data management and geological database systems.

• Develop, calibrate, and validate static and dynamic reservoir models using advanced geomodeling software.
• Integrate diverse subsurface data sources, including seismic, well logs, core data, and production history.
• Perform uncertainty analysis and risk assessment for reservoir properties and performance predictions.
• Assist in the planning and execution of field development strategies based on integrated reservoir models.
• Collaborate closely with geologists, geophysicists, and reservoir engineers to ensure model accuracy and consistency.
• Optimize reservoir simulation workflows and workflows for efficiency and effectiveness.
• Conduct sensitivity studies and scenario planning to evaluate different development options.
• Provide technical recommendations for well placement, completion strategies, and production optimization based on modeling results.
• Stay current with the latest advancements in geomodeling software, techniques, and methodologies.
• Communicate complex technical findings and recommendations clearly to multidisciplinary teams and management.
• Mentor junior geoscientists and engineers in geomodeling best practices.

• Master's or Ph.D. in Petroleum Engineering, Geology, Geophysics, or a related quantitative field.
• Minimum of 8 years of progressive experience in geomodeling and reservoir engineering within the upstream oil and gas industry.
• Expertise with industry-standard geomodeling software (e.g., Petrel, DecisionSpace Geosciences, Roxar RMS).
• Proficiency in reservoir simulation software (e.g., ECLIPSE, INTERSECT, CMG).
• Strong understanding of geological concepts, petrophysics, and sedimentology.
• Proven experience in building complex geological models and performing uncertainty assessments.
• Excellent analytical, problem-solving, and data interpretation skills.
• Strong collaborative and communication abilities, essential for remote teamwork.
• Ability to work independently with minimal supervision in a remote setting.
• Experience with scripting languages (e.g., Python, VBA) for workflow automation is a significant advantage.
• Must have a robust home office setup with a high-speed, reliable internet connection.

• Develop, calibrate, and validate advanced reservoir simulation models using industry-standard software (e.g., Eclipse, Petrel RE).
• Perform history matching and sensitivity analyses to accurately represent reservoir behavior.
• Conduct static and dynamic reservoir characterization, including pore-volume estimates, permeability distribution, and fluid flow dynamics.
• Develop and implement optimal field development plans, including well placement, production strategies, and enhanced oil recovery (EOR) techniques.
• Analyze production data and well test results to assess reservoir performance and identify opportunities for improvement.
• Generate comprehensive reports and present findings and recommendations to management and technical teams.
• Collaborate with geoscientists, production engineers, and drilling engineers to integrate geological models and operational data into simulation workflows.
• Stay current with emerging technologies and methodologies in reservoir engineering and digital simulation.
• Mentor junior reservoir engineers and contribute to knowledge sharing within the organization.
• Evaluate the technical and economic feasibility of new exploration and development projects.
• Perform uncertainty assessments and risk analysis for reservoir performance predictions.
• Contribute to the development and implementation of data analytics and machine learning applications in reservoir management.
• Ensure that all simulation activities adhere to company policies and industry best practices.
• Participate in peer reviews of simulation models and results.

• Bachelor's or Master's degree in Petroleum Engineering, Geosciences, or a related field.
• Minimum of 8 years of hands-on experience in petroleum reservoir engineering, with a strong emphasis on numerical reservoir simulation.
• Proficiency in using major reservoir simulation software packages.
• Solid understanding of reservoir physics, geology, and petrophysics.
• Experience with data analytics and statistical analysis for reservoir characterization.
• Excellent analytical, problem-solving, and decision-making skills.
• Strong communication and presentation skills, capable of conveying complex technical information clearly.
• Proven ability to work effectively in a remote, collaborative team environment.
• Experience with programming languages like Python for scripting and data analysis is a plus.
• Knowledge of various EOR methods and their simulation.
• Ability to manage multiple projects and meet deadlines.

• Develop, update, and maintain detailed reservoir simulation models based on geological, petrophysical, and production data.
• Perform history matching and sensitivity analyses to calibrate models and improve predictive accuracy.
• Forecast future reservoir performance, including production rates and reserves, under various development scenarios.
• Conduct economic evaluations and risk assessments associated with different field development strategies.
• Identify opportunities for enhanced oil recovery (EOR) and optimize their implementation through simulation studies.
• Collaborate closely with geologists, geophysicists, production engineers, and management in a remote environment.
• Prepare comprehensive technical reports, presentations, and recommendations for management and stakeholders.
• Stay current with the latest advancements in reservoir engineering technology, modeling techniques, and simulation software.
• Mentor junior engineers and share expertise on reservoir modeling best practices.
• Ensure data integrity and quality throughout the modeling process.

• Master's or Ph.D. in Petroleum Engineering, Chemical Engineering, or a related discipline.
• Minimum of 7 years of progressive experience in reservoir engineering, with a strong emphasis on reservoir modeling and simulation.
• Expertise in using industry-standard reservoir simulation software (e.g., Schlumberger ECLIPSE, CMG Suite, Landmark Graphics).
• Proficiency in data analysis and interpretation of geological, petrophysical, and production data.
• Strong understanding of fluid mechanics, thermodynamics, and multiphase flow in porous media.
• Excellent analytical, problem-solving, and decision-making skills.
• Proven ability to manage complex projects independently and deliver results in a remote setting.
• Strong written and verbal communication skills, with the ability to present technical information clearly to diverse audiences.
• Experience with programming languages such as Python or VBA for automation and analysis is a plus.
• Familiarity with uncertainty analysis and probabilistic methods in reservoir assessment.

• Develop, calibrate, and run complex reservoir simulation models using industry-standard software (e.g., ECLIPSE, Petrel RE, CMG).
• Analyze simulation results to understand reservoir behavior, predict future performance, and identify optimal development strategies.
• Evaluate and recommend well placement, production rates, injection schemes, and enhanced oil recovery (EOR) techniques.
• Perform volumetric calculations and uncertainty assessments for reserves estimation.
• Interpret well test data, core data, production logs, and seismic information to build and refine geological and reservoir models.
• Collaborate with geologists, geophysicists, and production engineers to integrate data and ensure model consistency.
• Prepare technical reports, presentations, and recommendations for management regarding reservoir development and performance.
• Stay abreast of the latest advancements in reservoir engineering, simulation technology, and EOR methods.
• Contribute to the technical review process and provide expert guidance on reservoir-related issues.
• Manage multiple simulation projects simultaneously, ensuring timely delivery of high-quality results.
• Develop and mentor junior engineers in the principles and practices of reservoir engineering and simulation.
• Communicate complex technical concepts clearly and effectively to diverse audiences through virtual platforms.

• Develop and execute detailed reservoir simulation models using industry-standard software (e.g., ECLIPSE, Petrel RE).
• Analyze reservoir performance data, identify production challenges, and recommend solutions for optimization.
• Conduct uncertainty assessments and risk analysis for reservoir development plans.
• Perform material balance calculations, decline curve analysis, and volumetric estimations.
• Design and interpret well test data to understand reservoir characteristics and fluid properties.
• Evaluate and recommend enhanced oil recovery (EOR) techniques.
• Collaborate with geoscientists, production engineers, and drilling engineers to develop integrated field development plans.
• Prepare technical reports, presentations, and recommendations for management and stakeholders.
• Mentor junior reservoir engineers and contribute to the development of technical expertise within the team.
• Stay current with the latest advancements in reservoir engineering technologies, simulation tools, and industry best practices.
• Contribute to strategic planning and long-term reservoir management.

• Bachelor's degree in Petroleum Engineering, Chemical Engineering, or a related field. Master's degree preferred.
• Minimum of 8 years of experience in petroleum reservoir engineering, with a strong focus on simulation.
• Proven expertise in reservoir simulation software (e.g., ECLIPSE, CMG, Petrel RE).
• Solid understanding of reservoir physics, fluid mechanics, thermodynamics, and geology.
• Experience with history matching, forecasting, and production optimization.
• Familiarity with various EOR methods and their application.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent communication and presentation skills, with the ability to convey complex technical information effectively.
• Ability to work independently and manage multiple projects in a remote environment.
• Membership in professional engineering societies is a plus.
• This role is based in **Ruiru, Kiambu, KE**, but operates on a fully remote basis.