Download PDF
Digitizing Carbon Footprint Calculations for a Global Energy & Commodities Firm
Technology Category
- Functional Applications - Inventory Management Systems
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Buildings
- Cement
Applicable Functions
- Quality Assurance
- Warehouse & Inventory Management
Use Cases
- Continuous Emission Monitoring Systems
- Inventory Management
Services
- System Integration
- Testing & Certification
The Challenge
The client, a global energy, environmental products and commodities firm, was faced with the challenge of digitizing and confirming their internally developed carbon footprint calculations and methodology. The goal was to deliver a robust and auditable Greenhouse Gas (GHG) footprint. The client's diversified business structure and varied assets made the initial task of data gathering quite complicated. Additionally, the data the client had consolidated to date had been in spreadsheets, a format that often causes version control issues, exacerbates manual errors, and drives delays from difficulties in obtaining reliable data. These challenges were further amplified by the need to repeat the process yearly, at a minimum, with increasing stakeholder pressure to deliver more frequent and specific reporting.
About The Customer
The client is a global energy, environmental products and commodities firm with operations across North America, Europe, Asia, and Latin America. They have a diversified business structure and varied assets, including international offices, refineries, and energy storage facilities. The client was seeking to digitize and confirm their internally developed carbon footprint calculations and methodology to deliver a robust and auditable GHG footprint. They were also required to comply with the UK's Streamlined Energy and Carbon Reporting (SECR) regulations, which mandate large businesses to annually report on their energy and carbon emissions.
The Solution
The client collaborated with SINAI to establish a GHG inventory, which helped determine boundary conditions, methodology, and emissions factors, as well as identify relevant data sources and collection processes. SINAI worked with the client to define the best boundary selection that was both SECR compliant and optimal for building a decarbonization strategy. The client proceeded with the equity share approach to appropriately account for assets with partial ownership, as was SINAI’s recommendation in order to align the Company’s GHG inventory with GHG protocol. SINAI’s climate experts aided their sustainability team in connecting emissions data to the SINAI platform. Using the principles of the GHG Protocol, SINAI’s experts and software delivered a complete emissions inventory of the Client’s scope 1 and 2 emissions, within one month. This made the building and managing of their carbon inventories easily repeatable and auditable, in addition to saving time.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Energy Saving & Power Monitoring System
Recently a university in Taiwan was experiencing dramatic power usage increases due to its growing number of campus buildings and students. Aiming to analyze their power consumption and increase their power efficiency across 52 buildings, the university wanted to build a power management system utilizing web-based hardware and software. With these goals in mind, they contacted Advantech to help them develop their system and provide them with the means to save energy in the years to come.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Intelligent Building Automation System and Energy Saving Solution
One of the most difficult problems facing the world is conserving energy in buildings. However, it is not easy to have a cost-effective solution to reduce energy usage in a building. One solution for saving energy is to implement an intelligent building automation system (BAS) which can be controlled according to its schedule. In Indonesia a large university with a five floor building and 22 classrooms wanted to save the amount of energy being used.
Case Study
Powering Smart Home Automation solutions with IoT for Energy conservation
Many industry leaders that offer Smart Energy Management products & solutions face challenges including:How to build a scalable platform that can automatically scale-up to on-board ‘n’ number of Smart home devicesData security, solution availability, and reliability are the other critical factors to deal withHow to create a robust common IoT platform that handles any kind of smart devicesHow to enable data management capabilities that would help in intelligent decision-making
Case Study
Commercial Building Automation Boosts Energy Efficiency
One of the challenges to building automation is the multitude of non-interoperable communications protocols that have evolved over the years. Buildings have several islands of automation. Bridging the islands of different automation without losing the considerable investment in each specialized control network is the main focus in this solution.