Transforma logo

ESG and Sustainability: saving the planet with technology

 

Enterprises around the world are focusing an increasing amount of attention on sustainability, often as part of a set of formally adopted Environmental, Social and Governance (ESG) goals. This dynamic is driven both by consumers who are increasingly favouring companies that can demonstrate sustainable business practices and the financial community prioritising investment in firms with good ESG credentials.

ESG-3-way.jpg

Environmental considerations are a key part of any ESG framework, with companies often aiming for ‘carbon neutrality’ (or better) and to preserve scarce resources.

Sustainability and digital transformation

Transforma Insights believes that disruptive new technologies, under the umbrella of ‘Digital Transformation’, including Artificial Intelligence (AI), Internet of Things (IoT), Edge Computing, Robotic Process Automation (RPA) and Additive Manufacturing, will be absolutely critical in meeting ESG goals. In particular they have a very strong role to play in reducing CO2 emissions, minimising the consumption of hydrocarbon fuels, lowering energy use, and protecting water resources.

In recent studies, such as the report ‘On balance, IoT is very beneficial from a sustainability perspective’, the Transforma Insights team has closely examined the likely impact of all of these technologies on areas of environmental concern. In total, these new Digital Transformation technologies such as AI and the IoT will save approaching 1.8 PWh of electricity in 2030, and an additional 3.5 PWh of (hydrocarbon) fuel use, resulting in total savings of 5.3 PWh of energy. Offset against this benefit is 653TWh of electricity consumption required to power solutions deployed using new technologies.

For comparison, the total electricity consumption of the global ICT industry is forecast to increase to around 8 PWh by 2030, meaning that together new technologies will generate energy savings equal to around 58% of the total power consumption of the ICT industry.

The ’Clean Dozen’ initiatives that will drive sustainability

Based on an analysis of the sustainability impact of all emerging Digital Transformation use cases, Transforma Insights has identified a ‘Clean Dozen’ solution areas that can help organisations achieve sustainability goals:

  • Fleet Operations, including a range of applications associated with the efficient operation and maintenance of vehicle fleets.
  • Supply Chain includes a range of applications used to improve the working and efficiency of supply chain operations such as sourcing, logistics, transportation, warehousing, manufacturing and production.
  • Smart Cities comprises of wide spectrum of smart city applications ranging from street lighting control to traffic management and parking space monitoring.
  • Smart Public Transport, solutions that enable tracking of buses, assets that are part of sharing schemes (such as bikes, e-scooters, cars).
  • Smart Buildings, technologies used to monitor and control the uses of resources (such as electricity, heating, cooling, water) in a building.
  • Smart Grid, including all aspects of grid operations, energy generation, smart metering, transmission and distribution.
  • Campus Microgrids refers to a network of distributed energy resources (DERs) for managing electricity flow in a campus location.
  • Remote Monitoring & Maintenance includes a range of applications for remote monitoring and maintaining the condition of machines.
  • Smart Healthcare, solutions used to remotely monitor the health of people.
  • Drone-based Solutions, solutions that enable efficient maintenance and monitoring of infrastructure in buildings, wind farms with drone-based inspection.
  • Smart Agriculture includes a range of applications used to make farming methods more efficient while increasing yield.
  • Efficient Operations, other technology use cases that contribute towards sustainability initiatives but that are not related to IoT.

The dozen solution areas account for use cases with significant impact on electricity consumption, (hydrocarbon) fuel consumption, water usage, and CO2 emissions, collectively representing the main measures of sustainability. In addition, we have also analysed the often-extensive benefits that these solution areas can bring to meeting wider ESG goals, as well as the parallel benefits that they might bring in driving a positive business impact.

The full list of solution areas, together with indicative assessments of their impacts in terms of CO2 emissions, (hydrocarbon) fuel savings, electricity savings, water savings and other ESG and business benefits is shown in the figure below.

Clean-Dozen-Sustainability-Title-Logo.jpg

While the ‘Clean Dozen’ solution areas were defined on the basis of their potential contribution to sustainability goals many of the dozen have wider ESG and business benefits. Wider ESG benefits range from reduced food wastage and reduced pollution through to the use of Supply Chain solutions to establish the provenance of goods in the supply chain to reduce fraud and ensure that, for instance, child labour has not been used anywhere in the supply chain. Many business benefits flow naturally from a reduction in the use of resources (electricity, fuel, and water) but extend to the potential for more efficient operations overall.

Each of these solution areas is unpicked in detail in our 112-page ‘Sustainability Enabled by Digital Transformation’ report (published July 2022).

Sustainability and IoT

The vast bulk of the savings that will be achieved through the deployment of new emerging Digitally Transformative technologies are related to IoT-enabled applications, which together account for in excess of 95% of both electricity and fuel saved. This is due to the fact that IoT represents the interface of new technological environments to the ‘real world’, and it is in the real world where most energy is used and most savings can be made.

The relationship between new technology and sustainability is complex, with certain solutions such as (IoT-enabled) televisions supporting on-demand content mostly simply contributing to eWaste and power consumption (for local content engines, remote servers, and connectivity), while other solutions such as road vehicle fleet management and heating, ventilation and air-conditioning (HVAC) systems also have associated benefits in terms of fuel and/or electricity consumption. This relationship, illustrated in the figure below, is, with few exceptions, consistent across all new technology deployments: the net impact of new technologies in manufacturing, distribution, and end-of-life phases is generally negative (with some exceptions, such as shared car schemes reducing the total number of cars manufactured), while many solutions generate a net benefit during live operations.

IoT-sustainability-2.jpg

When viewed from this perspective, the difference between consumer and enterprise becomes quickly apparent, with many consumer solutions such as IoT-enabled Audio-Visual devices generally having a negative impact at every step of the process, while many enterprise solutions will result in significant sustainability benefits during their Operation phase.

In the case of IoT-enabled solutions, the underlying dynamic is that many consumer devices are intended to deliver an enhanced value proposition to consumers, while enterprise solutions are generally deployed based on a business case analysis and expected net economic benefits. Exceptions to this rule include sophisticated HVAC systems, building automation, and smart lighting, which generate sustainability benefits irrespective of whether they are deployed in a consumer or enterprise context. Given these dynamics, it is not surprising that savings from enterprise account for 95% of electricity savings from all IoT solutions.

Beyond energy savings, water scarcity was listed in 2019 by the World Economic Forum as one of the largest global risks in terms of potential impact over the next decade, and a small number of IoT applications (mostly in the agricultural sector) will result in net savings of 230 billion cubic meters of water in 2030.

Sustainability and non-IoT Digital Transformation

The impact of new emerging technology-based solutions that do not include IoT-connected devices is more of a mixed bag than the impact of IoT-enabled solutions. However, two clear groupings emerge when analysing CO2 impact (which combines both electricity and fuel impact into a single measure).

At the Use Case level, it is the most widely adopted, processing intensive, non IoT-enabled applications that are intended to improve compliance or reduce risk that are most costly in terms of net CO2 emissions. Use cases like Fraud detection (accounting for 0.67 megatonnes of net CO2 emissions in 2030), Risk Analysis (0.29 megatonnes), and Threat Detection (0.24 megatonnes), are all valuable from an end-user perspective, but they are processing-intensive and generally achieve little in the way of tangible results (from a sustainability perspective).

Conversely, some applications of (non IoT-enabled) emerging technologies are significantly beneficial in terms of net CO2 impact, with the most beneficial use cases tending to involve interaction with real-world physical processes. For instance ‘x as-a-service’ (accounting for 2.6 megatonnes of net CO2 emissions savings in 2030) includes the proactive and pre-emptive maintenance of assets to ensure that they operate efficiently and do not break down. This saves on remedial maintenance trips, and improved condition monitoring of these assets enables more maintenance to be undertaken during routine service visits. Inventory Management (1.7 megatonnes), Transportation Optimisation (1.1 megatonnes), and Supply Chain Audit (1.0 megatonnes) all include in some way improving the efficiency of physical distribution networks, and so reductions in fuel use.

What is particularly interesting is that investment in new technology tends to result in costs in terms of electricity consumption (to power the solution), often offset by some level of savings in terms of electricity consumption but more significantly savings in terms of (hydrocarbon) fuel consumption. This is an important dynamic, since it is much easier to source electricity from sustainable sources than it is to source (hydrocarbon) fuel from sustainable sources: i.e. the simple substitution of hydrocarbon fuel consumption with electricity consumption is beneficial from a sustainability perspective.

Related Content

REPORT | SEP 19, 2024 | Rohan Bansal ; Matt Arnott
This report provides Transforma Insights’ view on the connected EV Charging market. This segment is comprised of public and private EV chargers, including those installed at all kinds of commercial and residential establishments. Drivers are quickly switching from traditional fuel-powered vehicles to hybrids and EVs. Governments around the globe are playing a key role in aiding this switch by providing incentives to drivers for switching to EVs. The growing demand for EVs has led to the need for sufficient charging infrastructure to be in place to charge these EVs. Chargers are also increasingly being connected. Typically, this is to provide drivers with remote functionalities to decide the time and charge amount of their vehicles in the case of private chargers and allow remote monitoring and maintenance or dynamic pricing for public chargers. The report provides a detailed definition of the sector, analysis of market development and profiles of the key vendors in the space. It also provides a summary of the status of adoption and Transforma Insights’ ten-year forecasts for the market. The forecasts include analysis of the number of IoT connections by geography, the technologies used (including splits by 2G, 3G, 4G, 5G, LPWA, short range, satellite, and others), as well as the revenue split between module, value-added connectivity, and services. A full set of forecast data, including country-level forecasts, sector breakdowns and public/private network splits, is available through the IoT Forecast tool.
REPORT | SEP 18, 2024 | Rohan Bansal ; Matt Arnott ; Nikita Singh
This report provides Transforma Insights’ view on the use of IoT in the management and operation of smart grids. This comprises electricity, gas, water, and sewage infrastructure. The transition from traditional to smart grid operations is a significant IoT initiative transforming the supply of all three utilities (water, electricity, and gas) worldwide. In 2033, there will be 151 million grid operation devices. This report examines the reasons behind the increasing adoption of smart grids, modernisation of traditional grids, and automation of distribution systems, substations, and power regulation stations. The report also assesses the management of infrastructure, use cases, and example deployments by vendors across the three utilities. Electricity smart grid monitoring is vital for the successful implementation of load balancing and microgeneration. Electricity grids will also leverage predictive analytics and big data to prevent energy losses in the system. Climate change, increasing demand for electricity, and use of alternative energy sources (such as renewables) are the key reasons driving smart electricity grid operations. In contrast, the use of IoT monitoring and management in smart water grids is less developed. However, it is crucial as it deals with multiple issues related to water scarcity, losses, droughts, floods, and reduced water security. Gas smart grids are crucial in reducing carbon emissions, improving energy independence, and detecting gas leakages and faults. These grids also promote the use of more sustainable alternatives such as biogas, biomethane, and hydrogen. The report provides a detailed definition of the sector, analysis of market development, and profiles of the key vendors in the space. It also provides a summary of the current status of adoption and Transforma Insights’ ten-year forecasts for the market. The forecasts include analysis of the number of IoT connections by geography, the technologies used (including splits by 2G, 3G, 4G, 5G, LPWA, short range, satellite and others), as well as the revenue split between module, value-added connectivity and services. A full set of forecast data, including country-level forecasts, sector break-downs and public/private network splits, is available through the IoT Forecast tool.
REPORT | SEP 03, 2024 | Suruchi Dhingra
Artificial Intelligence (AI) is a rapidly developing technology with a widespread impact. Its implementation can be seen all around us from chatbots to autonomous vehicles. AI developments are on course to improve operational efficiency, bring labour productivity, and boost economies. However, the negative environmental impacts of AI are often hidden from public view and the technology can have socioeconomic and sustainability implications and hinder the clean energy ambitions of tech giants. Google and Microsoft, both have reported a significant surge in their carbon emissions in the last five years, largely attributed to increase in their data centre energy consumption as a consequence of infusing AI into their core products. AI has been used for decades but the question around its impact on the environment has arisen in recent years since the techniques or AI models developed now use a vast amount of data, significant computational power and are becoming far more complex and widespread. This was triggered by the generative AI boom and mass adoption of large language model-based products like ChatGPT, DALL-E, and others in the second half of 2022 . These recent AI models are fed with diverse and large data sets to bring more accuracy and robustness, and work with low latency. This requires extensive storage and powerful processing, thus escalating electricity demand and carbon emissions. Microsoft, for example, had a stable increase of carbon emissions for many years but has reported a significant increase of 29% in carbon emissions since 2020, mostly due to its data centre expansions that were designed to support AI workloads. Another tech giant, Google, has also been facing challenges due to increased electricity demand driven by AI. It saw a rise of 48% in its carbon emissions since 2019, driven by data centres and supply chain emissions. This is clearly a challenge to the ambitions of any AI company that is aiming to becoming carbon neutral. In this report, we summarise our findings on the environmental impact of AI and we highlight some of the initiatives that are being taken by AI companies and cloud providers to offset related carbon emissions.
REPORT | AUG 14, 2024 | Nikita Singh ; Matt Arnott
This report provides Transforma Insights’ view on the Electricity Smart Meter IoT market found in the Transforma Insights Connected Things TAM forecast. The transition from traditional electricity meters to smart meters is one of the biggest IoT initiatives worldwide. By 2033, there will be 2.1 billion electricity smart meter connections. This report examines the reasons for the increase in installations, including reducing energy consumption, a desire to reduce electricity thefts, enhancing load balancing capabilities, and growth in the use of renewable energy sources. Reducing dependence on nuclear energy and the greater demand for EV charging are likely to increase the use of renewables for energy and further drive the adoption of smart electricity meters. It also provides a detailed assessment of the progress of rollouts and the various communication technologies used across major geographies for these meters. Electricity smart meter rollout is a government-led initiative and with the installation of meters, consumers are provided added benefits such as subsidies on their electricity bill or refunds on using limited electricity during peak hours. Most of these rollouts supported by government regulations focus on providing incentives for deployment. The report provides a detailed definition of the sector, analysis of market development and profiles of the key vendors in the space. It also provides a summary of the current status of adoption and Transforma Insights’ ten-year forecasts for the market. The forecasts include analysis of the number of IoT connections by geography, the technologies used (including splits by 2G, 3G, 4G, 5G, LPWA, short range, satellite and others), as well as the revenue split between module, value-added connectivity and services. A full set of forecast data, including country-level forecasts, sector break-downs and public/private network splits, is available through the TAM Forecast tool.
REPORT | JUN 06, 2024 | Matt Arnott ; Rohan Bansal
This report provides Transforma Insights’ view on the Generation market. This segment comprises Power Generation and Microgeneration. Climate change is a major cause of concern as temperatures across the world are rising rapidly causing a series of natural disasters impacting human lives adversely. The need for sustainable sources of energy has grown to help countries achieve their sustainability targets. This has led to high adoption of clean energy production and a growth in these energy-producing facilities. The adoption of clean energy technology solutions will also increase the use of IoT to properly manage them throughout their life. Sensors functioning on a range of long and short-range technologies will be deployed on energy-producing equipment to gain insights into their proper utilisation and function. These solutions will ensure that devices are working at their optimal capacity at all times and provide timely alerts around any maintenance needs to ensure that downtime is reduced. The report provides a detailed definition of the sector, analysis of market development and profiles of the key vendors in the space. It also provides a summary of the current status of adoption and Transforma Insights’ ten-year forecasts for the market. The forecasts include analysis of the number of IoT connections by geography, the technologies used (including splits by 2G, 3G, 4G, 5G, LPWA, short range, satellite, and others), as well as the revenue split between module, value-added connectivity, and services. A full set of forecast data, including country-level forecasts, sector break-downs and public/private network splits, is available through the IoT Forecast tool.
REPORT | MAY 17, 2024 | Suruchi Dhingra
The concept of a circular economy is becoming a priority for governments and organisations as they become increasingly aware of the environmental consequences associated with traditional linear waste disposal processes. Although regulations supporting the transition towards a circular economy began to emerge in the early 1990s, it is only now that they have become more defined and have started incorporating the use of new digitally transformative technologies. Digital technologies hold tremendous potential to enable the circular economy objectives of governments and corporate and other organisations. From advanced techniques which optimise product designs (that reduce waste) to intelligent interconnected systems (that optimise resource use), the possibilities are endless. By integrating these technologies, businesses can benefit from improved resource management, extended life of products, increased degree of recycling and reuse, appropriate waste disposal practices at the end-of-life, and more. For example, by analysing datasets related to product design materials and recycling processes, AI algorithms can suggest product designs that are aligned with circular economy principles. In this report, we focus on the role of digital technologies such as IoT, AI, Distributed Ledger, Autonomous Robotic Systems, 3D Printing and Additive Manufacturing, and Data Sharing in enabling a circular economy transition. Solutions using these technologies will make business models, products, and manufacturing processes more circular by facilitating knowledge exchange and connecting different stakeholders in the value chain. By integrating these technologies, businesses can benefit from improved resource management, extended life of products, increased degree of recycling and reuse, appropriate waste disposal practices at the end-of-life, and more.
REPORT | MAY 01, 2024 | Suruchi Dhingra
Several new regulations are being introduced around the world to promote circular, sustainable, and responsible economies. The goals of these regulations are clear: businesses should deploy an efficient mechanism to review how they design, source, manufacture, dispose, reuse, and recycle products. Mechanisms often report carbon emitted at each stage to promote clean energy use, and also limit the use of harmful substances, increase the degree of reuse and recycling by material composition tracking, limit materials from certain countries, and ensure human rights obligations and thus, responsible sourcing. To track these metrics, most of these regulations stress the importance of visibility and traceability of products throughout the value chain. The accurate collection and reporting of data mandated by the regulations discussed in this report is impossible without employing digitally transformative technologies that enhance the tracking and traceability of the discussed elements. Intelligent track and trace that combines technologies such as distributed ledger, IoT, AI, and analytics will be essential to automate tracking, making it fast and efficient to trace products throughout their journey. The whole process is made efficient through the adoption of a range of techniques: Product identifiers: the key identifier information that a stakeholder needs to accurately identify a product and to access related information. Data sharing: a common standardised way to share information among all relevant stakeholders. Supply chain traceability: essential to prove provenance and qualifications by tracking the origin of materials and physical flow of goods through the value chain. IoT: all of the above drive the adoption of IoT as it enables accurate and efficient data collection. Digital supply chain twin: to virtually track journeys with change of state. Artificial intelligence: intersects with other technologies for additional insights. In this report, we discuss the major regulations (including the EU’s Batteries Regulation, Carbon Border Adjustment Mechanism, and End of Life Vehicles Directive and others and the USA’s Inflation Reduction Act, and various EV battery-related and other regulations from around the world) that are shaping the circular, ethical, and green economy. We also discuss the role technology plays in facilitating the requirements of supply chain transparency related regulations.