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Feature Articles: Environment and Energy Technologies Toward a Green Society

Vol. 9, No. 2, pp. 44–49, Feb. 2011. https://doi.org/10.53829/ntr201102fa7

Algorithm for Estimating Resource Input in ICT Industry

Minako Hara^†, Kazue I. Takahashi, Tatsuya Kunioka, and Jiro Nakamura

Abstract

We present an algorithm for estimating the input resources consumed in managing equipment used in the information and communications technology (ICT) industry. It helps to produce appropriate plans for avoiding rising procurement costs and reducing the environmental impact of ICT equipment, which will enable us to prepare for the increase in the cost of resources caused by their depletion.

†	NTT Energy and Environment Systems Laboratories Atsugi-shi, 243-0198 Japan

1. Introduction

In 1999, the NTT Group established the NTT Group Global Environmental Charter describing basic principles and policies for protecting the environment. The NTT Group analyzed achievement levels against specific goals in relation to preventing global warming, reducing waste products, and reducing paper consumption in terms of CO₂ emissions, the amount of final waste for disposal, and the consumption of virgin pulp. Along with the rising interest in corporate social responsibility, companies are becoming responsible for their supply chain activities such as procurement and waste treatment. The Global Reporting Initiative in partnership with the United Nations Environment Programme determines materials used by weight or volume as a core performance indicator in their guideline for sustainability reporting [1].

Progressive companies use the results of a material consumption analysis to promote resource savings. For example, several dozen companies disclose their environmental and economic improvements achieved by using material cost flow accounting [2].

The rapid increase in resource costs may have a serious impact on the information and communications technology (ICT) industry in the future because of its resource consumption as a result of its extensive infrastructure. Therefore, the resources required for the ICT industry must be estimated.

2. Material flow analysis

Material flow analysis (MFA) is a methodology concerned with estimating the total amount, circulation amount, or balance of input and output amounts of materials systematically and quantitatively in entities such as countries and companies. The input represents the consumption of raw materials and energy and the procurement of parts. The output includes products, by-products, CO₂ emissions, and waste. The concept of material flow in the ICT industry is shown in Fig. 1.

Fig. 1. Material flow in ICT industry.

The Japanese Ministry of the Environment uses MFA to obtain information about current resource circulation. Moreover, it is using MFA results to set numerical targets for resource productivity and cyclical use rate by adding to the conventional target expressed in the amount for final disposal in order to save resources and use appropriate waste treatment with the goal of establishing a sound material-cycle society [3].

3. Resource input measurement in the ICT industry

Data collection for productivity management is already under way for the purchase of raw materials, and many manufacturing companies disclose MFA results in relation to their annual activities in sustainability reports. On the other hand, the service and infrastructure industries have some difficulties in managing material input related to product purchasing and infrastructure construction. This is why there have been no case studies estimating the resource input of the ICT industry. With a view to applying MFA to the ICT industry, NTT Energy and Environment Systems Laboratories has investigated an algorithm for indirectly estimating the resource input using input-output analysis (IOA).

4. Outline of IOA

Today’s economic activities, namely, the supply of goods and services, consist of production activities performed by interlinked industries. Input-output (I-O) tables provide information about production activities in the form of a matrix that shows how many goods and services are produced and distributed among the industries. IOA is an economic estimation methodology that uses I-O tables. In this study, a physical input-output table (PIOT), which is an application table focusing on materials on the basis of I-O tables and industrial statistics, was used to estimate the resource input. The formats of the basic and modified PIOTs used in this study are given in Table 1.

Table 1. Physical input-output tables (PIOTs).

5. Resource input estimation algorithm

NTT Energy and Environment Systems Laboratories has established an algorithm based on a top-down approach for estimating the input resources consumed to build and maintain ICT equipment effectively in the service industries. It is an estimation application of IOA using economic indices such as capital investment and annual purchases. It is important to note that the existing algorithm cannot separate the indirect input of resources consumed in supply chains from the direct input for the service industry. For this reason, its input amount results are defined differently from the input data on an aggregate basis.

As shown in Fig. 2, the algorithm consists of three processes: (1) pre-calculation of a set of input data related to the operation of equipment, (2) estimation of the resource input on the basis of IOA using PIOT (macro analysis), and (3) post-calculation including a summation of the pre-calculated and estimated data and allocation of the summation to material groups.

Fig. 2. Concept of algorithm for estimating resource input.

The input data for IOA should be financial data such as annual investments, equipment purchases, or revenue. The input data for equipment operation should be management data related to resource consumption (Table 2), such as the annual consumption of electricity, natural gas, petroleum, and paper aggregated in an environmental management system (Table 3). Using the input data set, the algorithm outputs the annual input of 16 resources grouped into 5 categories (Table 4).

Table 2. Examples of input data sets in financial reports.

Table 3. Example of input data for ICT operation.

Table 4. Output data for resources and categories.

(1) Pre-calculation process

The set of input data for resources consumed for ICT operation requires the conversion of units because the consumption is expressed in various units. In this process, each consumption data set is converted into a weight unit by using an equation converter according to the units of the resources. Energy resources such as petroleum and gas are converted to carbon content to avoid inconsistency for data expressed in resource weight and CO₂ emissions in CO₂ equivalent.

(2) Estimation process

In the estimation process, the resources input for managing equipment are estimated by IOA using input financial data and PIOT data according to the industrial category for each production activity. Since the PIOT data units vary with the materials, they are converted into weight units using the abovementioned process.

(3) Post-calculation process

The input resources for operation and equipment provided by (1) and (2) are calculated in an application format that includes summation and grouping into categories.

6. Application of results

NTT Group companies publish statements of resource input using the estimated data, as shown in Fig. 3. The provided results are also useful for creating a material flow chart (Fig. 4). The input flow in Fig. 4 shows the sum of the resource inputs for both operation and equipment. The output flow shows CO₂ emissions and waste, including recovered materials.

Fig. 3. Application example for NTT Group results (source: Japanese translated by the author) [4].

Fig. 4. Material flow chart created from results published by NTT EAST and NTT WEST.

7. Conclusion

We have established a top-down-approach-based algorithm for estimating input resources in the ICT industry by using IOA. This algorithm is effective at enabling ICT companies to overview the environmental impact of their business activities. Its results include the indirect resource input in the supply chain. To divide the estimated input into direct and indirect inputs, we are developing an aggregation-based estimation model for accurate analysis of a bottom-up-approach-based algorithm. In further research, we intend to develop a method for estimating stock and output amounts as well as input resources in the ICT industry.

References

[1]	Global Reporting Initiative, Sustainability Reporting Guidelines, G3, Amsterdam, 2006.
[2]	Y. Onishi et al., “Implementing Material Flow Cost Accounting in a Pharmaceutical Company,” Eco-efficiency in Industry and Science, Vol. 24, pp. 395-396, 2009.
[3]	Japanese Ministry of the Environment, Annual Report on the Environment, “A Sound Material-Cycle Society and Biodiversity in Japan,” pp. 229–237, 2010 (in Japanese).
[4]	NTT EAST Corporate Social Responsibility Report 2009, p. 33, 2009 (in Japanese).

	Minako Hara Research Engineer, Environmental Information System Project, NTT Energy and Environment Systems Laboratories. She received the B.S. degree in applied chemistry from Tokyo University of Science in 1998 and the M.E. and Ph.D. degrees in applied chemistry from the University of Tokyo in 2000 and 2005, respectively. During 2004–2006, as a post-doctoral researcher at the Japan Science and Technology Agency, she developed an environmental impact assessment methodology and an eco-efficiency index. She joined NTT Energy and Environment Systems Laboratories in 2006 and studied environmental assessment, including life cycle assessment and material flow analysis. She is currently studying materials recovery technology. She is a member of the Society of Environmental Science, Japan, and the Society for Environmental Economics and Policy Studies.
	Kazue I. Takahashi Senior Research Engineer, Environmental Material Technology Group, Environmental Information Systems Project, NTT Energy and Environment Systems Laboratories. She received the B.E. and M.E. degrees in applied chemistry from Waseda University, Tokyo, in 1986 and 1988, respectively, and the Ph.D. degree in materials engineering from the University of Tokyo in 2010. She joined NTT in 1988 and studied functional polymers, a sustainability assessment methodology, and electronic device recycling. Her primary areas of interest include evaluating the social impact of ICT services and new technology for reducing the environmental load of telecommunication networks. She is a member of the Institute of Electronics, Information and Communication Engineers of Japan, the Chemical Society of Japan, the Society of Environmental Science, Japan, and the Japanese Liquid Crystal Society.
	Tatsuya Kunioka Senior Research Engineer, Supervisor, NTT Energy and Environment Systems Laboratories. He received the B.E. and M.E. degrees in electrical engineering from Waseda University, Tokyo, in 1985 and 1987, respectively. He joined NTT LSI Laboratories in 1987 and engaged in research on a precision mechanical system for electron beam lithography, spending most of the time developing a precision non-magnetic XY-stage using an ultrasonic linear motor for use in vacuum. He moved to the Environmental Protection Office of NTT EAST in 2001 and was responsible for the entire environmental protection management in NTT EAST. In particular, he promoted life cycle assessment of the telecommunication network in cooperation with NTT Energy and Environment Systems Laboratories. In 2004, he moved to NTT Energy and Environment Systems Laboratories and is currently studying refuse reclamation technology. He is a member of the Japan Society for Atmospheric Environment and the Society for Instrument and Control Engineers.
	Jiro Nakamura Group Leader, Environmental Information Systems Project, NTT Energy and Environment Systems Laboratories. He received the B.E., M.E., and Ph.D. degrees in applied chemistry from Osaka University in 1987, 1989, and 1995, respectively. He joined NTT LSI Laboratories in 1989, where he worked on the development of microfabrication technology. He moved to the NTT Information Sharing Laboratory Group in 2001. Since moving to his present research department in 2004, he has been engaged in developing environmental sensing systems and analyzing the influence of ICT on the global environment. He received the Award of the MicroProcess Conference in 1997 and the Award of the Photopolymer Conference in 1998.

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